- getAcceleratorType() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- getAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- getAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- getAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- getAccept() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- getAdditionalCodeRepositoryEquals() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with associated with the specified git repository.
- getAlgorithmArn() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The Amazon Resource Name (ARN) of the algorithm.
- getAlgorithmArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
The Amazon Resource Name (ARN) of the new algorithm.
- getAlgorithmArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The Amazon Resource Name (ARN) of the algorithm.
- getAlgorithmDescription() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A brief description of the algorithm.
- getAlgorithmDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
A description of the algorithm.
- getAlgorithmDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A brief summary about the algorithm.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The name of the algorithm resource to use for the training job.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The name of the algorithm that is described by the summary.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
The name of the algorithm.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
The name of the algorithm to delete.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
The name of the algorithm to describe.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The name of the algorithm being described.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The name of the resource algorithm to use for the hyperparameter tuning job.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The name of an algorithm that was used to create the model package.
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata,
including the input mode.
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the algorithm used for training, and algorithm metadata.
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the algorithm used for training, and algorithm metadata.
- getAlgorithmStatus() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- getAlgorithmStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- getAlgorithmStatusDetails() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about the current status of the algorithm.
- getAlgorithmSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- getAmountInUsd() - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Defines the amount of money paid to a worker in United States dollars.
- getAnnotationConsolidationConfig() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Configures how labels are consolidated across human workers.
- getAnnotationConsolidationLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation.
- getAnnotationConsolidationLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers
into a label for a data object.
- getAssembleWith() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- getAttributeNames() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- getAuthorizedUrl() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
A JSON object that contains the URL string.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- getBestTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getBranch() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The default branch for the Git repository.
- getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getCachedResponseMetadata(AmazonWebServiceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Returns additional metadata for a previously executed successful request, typically used for debugging issues
where a service isn't acting as expected.
- getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Returns additional metadata for a previously executed successful, request, typically used for debugging issues
where a service isn't acting as expected.
- getCategoricalParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a
hyperparameter tuning job searches.
- getCategoricalParameterRangeSpecification() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A CategoricalParameterRangeSpecification object that defines the possible values for a categorical
hyperparameter.
- getCents() - Method in class com.amazonaws.services.sagemaker.model.USD
-
The fractional portion, in cents, of the amount.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Whether to certify the algorithm so that it can be listed in AWS Marketplace.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether to certify the model package for listing on AWS Marketplace.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Whether the algorithm is certified to be listed in AWS Marketplace.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Whether the model package is certified for listing on AWS Marketplace.
- getChannelName() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- getClientId() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for an application client.
- getCode() - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A unique identifier for a specific class of errors.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The Amazon Resource Name (ARN) of the Git repository.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the new repository.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the Git repository.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
The ARN of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The name of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
The name of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
The name of the Git repository to delete.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
The name of the Git repository to describe.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The name of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The name of the Git repository to update.
- getCodeRepositorySummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- getCognitoMemberDefinition() - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
The Amazon Cognito user group that is part of the work team.
- getCompilationEndTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job completed.
- getCompilationEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job on a compilation job instance ended.
- getCompilationJobArn() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The Amazon Resource Name (ARN) of the model compilation job.
- getCompilationJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
If the action is successful, the service sends back an HTTP 200 response.
- getCompilationJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The name of the model compilation job that you want a summary for.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A name for the model compilation job.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
The name of the model compilation job that you want information about.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The name of the model compilation job.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
The name of the model compilation job to stop.
- getCompilationJobStatus() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- getCompilationJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- getCompilationJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- getCompilationStartTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job started.
- getCompilationStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job started the CompilationJob instances.
- getCompilationTargetDevice() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after compilation has completed.
- getCompleted() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by the hyperparameter tuning job.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- getContainerHostname() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
This parameter is ignored for models that contain only a PrimaryContainer.
- getContainerHostname() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The DNS host name for the Docker container.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
The content of the Liquid template for the worker user interface.
- getContentClassifiers() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The MIME type of the data.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The multipurpose internet mail extension (MIME) type of the data.
- getContinuousParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a
hyperparameter tuning job searches.
- getContinuousParameterRangeSpecification() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A ContinuousParameterRangeSpecification object that defines the possible values for a continuous
hyperparameter.
- getCreateDate() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was created (timestamp).
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A timestamp that shows when the algorithm was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A timestamp specifying when the algorithm was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the model compilation job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
A timestamp that shows when the endpoint configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job started.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A timestamp specifying when the model package was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A timestamp that shows when the model was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
A timestamp that shows when the transform Job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
A timestamp that shows when the endpoint configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The date and time that the labeling job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was created (timestamp).
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A timestamp that shows when the model package was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
A timestamp that indicates when the model was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
A timestamp that shows when the transform Job was created.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created after a specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations with a creation time greater than or equal to the specified
time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with a creation time greater than or equal to the specified time
(timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created after the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created before a specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created before the specified time.
- getCurrentInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances associated with the variant.
- getCurrentWeight() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The weight associated with the variant.
- getDataAttributes() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Attributes of the data specified by the customer.
- getDataInputConfig() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- getDataProcessing() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The data structure used for combining the input data and inference in the output file.
- getDataProcessing() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
The location of the input data.
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, which is, the S3 location of the input data that the model can
consume.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A Git repository to associate with the notebook instance as its default code repository.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Git repository associated with the notebook instance as its default code repository.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Git repository associated with the notebook instance as its default code repository.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Git repository to associate with the notebook instance as its default code repository.
- getDefaultCodeRepositoryContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name or URL of a Git repository associated with this notebook instance.
- getDefaultValue() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The default value for this hyperparameter.
- getDeployedImages() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
A brief description of the channel.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A description of the work team.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
A brief description of the hyperparameter.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
An updated description for the work team.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A description of the work team.
- getDesiredInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's capacity.
- getDesiredInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
- getDesiredWeight() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's weight.
- getDesiredWeight() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
- getDesiredWeightsAndCapacities() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- getDirectInternetAccess() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether Amazon SageMaker provides internet access to the notebook instance.
- getDirectInternetAccess() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether Amazon SageMaker provides internet access to the notebook instance.
- getDisassociateAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to remove from this notebook instance.
- getDisassociateAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of names or URLs of the default Git repositories to remove from this notebook instance.
- getDisassociateDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name or URL of the default Git repository to remove from this notebook instance.
- getDisassociateLifecycleConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Set to true to remove the notebook instance lifecycle configuration currently associated with the
notebook instance.
- getDollars() - Method in class com.amazonaws.services.sagemaker.model.USD
-
The whole number of dollars in the amount.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Isolates the model container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Isolates the training container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
If True, no inbound or outbound network calls can be made to or from the model container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster
for distributed training, choose True.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Isolates the training container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the TrainingJob was created with network isolation, the value is set to true.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
The Amazon Resource Name (ARN) of the updated endpoint.
- getEndpointConfigArn() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- getEndpointConfigArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- getEndpointConfigArn() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The name of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of an endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
The name of the endpoint configuration that you want to delete.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
The name of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Name of the Amazon SageMaker endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The name of the endpoint configuration associated with this endpoint.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The name of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the new endpoint configuration.
- getEndpointConfigs() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
The name of the endpoint that you want to delete.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
The name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the endpoint whose configuration you want to update.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
The name of an existing Amazon SageMaker endpoint.
- getEndpoints() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- getEndpointStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- getEndpointStatus() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned out of this secondary status state into another
secondary status state or when the training job has ended.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The environment variables to set in the Docker container.
- getErrors() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- getExecutionRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and
docker image for deployment on ML compute instances or for batch transform jobs.
- getExecutionRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- getExecutorService() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
Returns the executor service used by this client to execute async requests.
- getFailed() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning
process.
- getFailedNonRetryableError() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects that could not be labeled due to an error.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
if the overall status is Failed, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
If a model compilation job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
If the status of the endpoint is Failed, the reason why it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the tuning job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
If the job failed, the reason that it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
If status is Failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If the training job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
If the transform job failed, FailureReason describes why it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The reason that the training job failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
If the LabelingJobStatus field is Failed, this field contains a description of the
error.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
if the overall status is Failed, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the training job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
If the transform job failed, the reason it failed.
- getFilters() - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- getFilters() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- getFinalActiveLearningModelArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data
labeling.
- getFinalHyperParameterTuningJobObjectiveMetric() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- getFinalMetricDataList() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- getFinalMetricDataList() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- getFramework() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Configuration details for the Git repository, including the URL where it is located and the ARN of the AWS
Secrets Manager secret that contains the credentials used to access the repository.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Specifies details about the repository, including the URL where the repository is located, the default branch,
and credentials to use to access the repository.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Configuration details about the repository, including the URL where the repository is located, the default
branch, and the Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used
to access the repository.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the AWS Secrets
Manager secret that contains the credentials used to access the repository.
- getHumanLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by a human worker.
- getHumanLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects labeled by a human worker.
- getHumanTaskConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required for human workers to complete a labeling task.
- getHumanTaskConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information required for human workers to complete a labeling task.
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Algorithm-specific parameters that influence the quality of the model.
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Algorithm-specific parameters.
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Algorithm-specific parameters.
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The hyperparameters used for the training job.
- getHyperParameterTuningEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job ended.
- getHyperParameterTuningEndTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job ended.
- getHyperParameterTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- getHyperParameterTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- getHyperParameterTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The Amazon Resource Name (ARN) of the tuning job.
- getHyperParameterTuningJobConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the
objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the
tuning job.
- getHyperParameterTuningJobConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The name of the tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
The name of the tuning job to describe.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The name of the tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The name of the tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The name of the tuning job whose training jobs you want to list.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
The name of the tuning job to stop.
- getHyperParameterTuningJobObjective() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
- getHyperParameterTuningJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- getHyperParameterTuningJobStatus() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- getHyperParameterTuningJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- getImage() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- getImage() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- getImageDigest() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- getImageScanStatuses() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- getImageScanStatuses() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about inference jobs that the algorithm runs, including the following:
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies details about inference jobs that can be run with models based on this model package, including the
following:
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about inference jobs that the algorithm runs.
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about inference jobs that can be run with models based on this model package.
- getInitialActiveLearningModelArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon Resource Nam (ARN) of the final
model used for auto-labeling.
- getInitialInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Number of instances to launch initially.
- getInitialVariantWeight() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
- getInProgress() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of in-progress training jobs launched by a hyperparameter tuning job.
- getInput() - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
A JSON object that contains values for the variables defined in the template.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the location of input model artifacts, the name and shape of the expected data inputs,
and the framework in which the model was trained.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the
manifest file that describes the data objects.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data
inputs, and the framework in which the model was trained.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the
location of the manifest file that describes the data objects.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Input configuration for the labeling job.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel objects that specify the input for the training jobs that the tuning job launches.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- getInputFilter() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A JSONPath expression used to select a portion of the input data to pass to the algorithm.
- getInputMode() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The number of ML compute instances to use.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The number of ML compute instances to use in the transform job.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- getIntegerParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a
hyperparameter tuning job searches.
- getIntegerParameterRangeSpecification() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A IntegerParameterRangeSpecification object that defines the possible values for an integer
hyperparameter.
- getIsRequired() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Indicates whether the channel is required by the algorithm.
- getIsRequired() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is required.
- getIsTunable() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
- getJobReferenceCode() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A unique identifier for work done as part of a labeling job.
- getJobReferenceCode() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
A unique identifier for a labeling job.
- getJobReferenceCodeContains() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter the limits jobs to only the ones whose job reference code contains the specified string.
- getJoinSource() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- getKey() - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag key.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on
the storage volume attached to the ML compute instance that hosts the endpoint.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on
the storage volume attached to your notebook instance.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the
instance.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the
instance.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The AWS Key Management Service ID of the key used to encrypt the output data, if any.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption.
- getLabelAttributeName() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The attribute name to use for the label in the output manifest file.
- getLabelAttributeName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The attribute used as the label in the output manifest file.
- getLabelCategoryConfigS3Uri() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The S3 URL of the file that defines the categories used to label the data objects.
- getLabelCategoryConfigS3Uri() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The S3 location of the JSON file that defines the categories used to label data objects.
- getLabelCounters() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine,
the number of objects than couldn't be labeled, and the total number of objects labeled.
- getLabelCounters() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Provides information about the progress of a labeling job.
- getLabelCounters() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Counts showing the progress of the labeling job.
- getLabelingJobAlgorithmsConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required to perform automated data labeling.
- getLabelingJobAlgorithmsConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information for automated data labeling.
- getLabelingJobAlgorithmSpecificationArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the labeling job.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The name of the labeling job.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
The name of the labeling job to return information for.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The name assigned to the labeling job when it was created.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The name of the labeling job that the work team is assigned to.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The name of the labeling job.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
The name of the labeling job to stop.
- getLabelingJobOutput() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the output produced by the labeling job.
- getLabelingJobOutput() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The location of the output produced by the labeling job.
- getLabelingJobResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Provides configuration information for a labeling job.
- getLabelingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- getLabelingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- getLabelingJobSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- getLabelingJobSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was last changed.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the status of the model compilation job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the status of the tuning job was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the status of the training job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was last modified (timestamp).
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the status of the training job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Timestamp when the training job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job was last modified.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified after the specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified after a specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified after the specified timestamp.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified after the specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified after the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified before the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified before a specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified before the specified timestamp.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified before the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified before the specified time.
- getLastUpdatedDate() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was last updated (timestamp).
- getLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- getLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- getListingId() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
- getMachineLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by automated data labeling.
- getManifestS3Uri() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
The Amazon S3 location of the manifest file that describes the input data objects.
- getMarketplaceDescription() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The description of the vendor from the Amazon Marketplace.
- getMarketplaceTitle() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The title of the service provided by the vendor in the Amazon Marketplace.
- getMaxConcurrentTaskCount() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Defines the maximum number of data objects that can be labeled by human workers at the same time.
- getMaxConcurrentTransforms() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- getMaxConcurrentTransforms() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum number of parallel requests on each instance node that can be launched in a transform job.
- getMaxConcurrentTransforms() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- getMaxHumanLabeledObjectCount() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of objects that can be labeled by human workers.
- getMaxNumberOfTrainingJobs() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of training jobs that a hyperparameter tuning job can launch.
- getMaxParallelTrainingJobs() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum allowed size of the payload, in MB.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size, in MB, used in the transform job.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum payload size allowed, in MB.
- getMaxPercentageOfInputDatasetLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of input data objects that should be labeled.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The maximum number of algorithms to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The maximum number of Git repositories to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The maximum number of model compilation jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The maximum number of training jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The maximum number of endpoints to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The maximum number of tuning jobs to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The maximum number of labeling jobs to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The maximum number of labeling jobs to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The maximum number of model packages to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The maximum number of models to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The maximum number of lifecycle configurations to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The maximum number of notebook instances to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Maximum number of tags to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The maximum number of training jobs to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The maximum number of training jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The maximum number of transform jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The maximum number of results to return in a SearchResponse.
- getMaxRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that the training or compilation job can run.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The maximum value for the hyperparameter.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The maximum floating-point value allowed.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The maximum integer value allowed.
- getMemberDefinitions() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the Amazon Cognito user pool
that makes up the work team.
- getMemberDefinitions() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contain the updated work team members.
- getMemberDefinitions() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Cognito user groups that make up the work team.
- getMessage() - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A human-readable message describing the error.
- getMetricDefinitions() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- getMetricDefinitions() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition objects that specify the metrics that the algorithm emits.
- getMetricDefinitions() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The name of the objective metric.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
The name of the metric to use for the objective metric.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The name of the metric.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The minimum value for the hyperparameter.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The minimum floating-point value allowed.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The minimum integer value allowed.
- getModelArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
The ARN of the model created in Amazon SageMaker.
- getModelArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the model.
- getModelArn() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The Amazon Resource Name (ARN) of the model.
- getModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the
compilation job.
- getModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- getModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- getModelDataUrl() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The S3 path where the model artifacts, which result from model training, are stored.
- getModelDataUrl() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- getModelDataUrl() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The name of the new model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the model that you want to use for the transform job.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
The name of the model to delete.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Name of the Amazon SageMaker model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the model used in the transform job.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The name of the model that you want a summary for.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the model that you want to host.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
The Amazon Resource Name (ARN) of the new model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Resource Name (ARN) of the model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A description of the model package.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A brief summary of the model package.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A brief description of the model package.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name of the model package.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
The name of the model package.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
The name of the model package to describe.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The name of the model package being described.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The name of the model package.
- getModelPackageStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- getModelPackageStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- getModelPackageStatusDetails() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the current status of the model package.
- getModelPackageSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- getModels() - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- getName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The name of the algorithm for which the overall status is being reported.
- getName() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- getName() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The name of the channel.
- getName() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The name of the continuous hyperparameter to tune.
- getName() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A property name.
- getName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The name of this hyperparameter.
- getName() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The name of the hyperparameter to search.
- getName() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- getName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The name of the model package for which the overall status is being reported.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A string in the algorithm name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A string in the Git repositories name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs whose name contains a specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A string in the endpoint configuration name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A string in endpoint names.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A string in the tuning job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A string in the labeling job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A string in the model package name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A string in the training job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A string in the lifecycle configuration name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the notebook instances' name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
A string in the work team name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A string in the training job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A string in the transform job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
A string in the work team's name.
- getNestedFilters() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- getNestedPropertyName() - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
The name of the property to use in the nested filters.
- getNetworkInterfaceId() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The network interface IDs that Amazon SageMaker created at the time of creating the instance.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
If the response to a previous ListAlgorithms request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
If the response is truncated, Amazon SageMaker returns this NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
If the result of the previous ListEndpointConfig request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
If the result of a ListEndpoints request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
If the result of the previous ListHyperParameterTuningJobs request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
If the result of the previous ListLabelingJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
If the response to a previous ListModelPackages request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
If the response to a previous ListModels request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes
a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
If the previous call to the ListNotebookInstances is truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
If the response to the previous ListNotebookInstances request was truncated, Amazon SageMaker
returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
If the response to the previous ListTags request is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
If response is truncated, Amazon SageMaker includes a token in the response.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the
response includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
If the result of the previous ListTrainingJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
If the result of the previous ListTransformJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
If the result of the previous ListWorkteams request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
If more than MaxResults resource objects match the specified SearchExpression, the
SearchResponse includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
If the result of the previous Search request was truncated, the response includes a NextToken.
- getNonRetryableError() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed and can't be retried.
- getNotebookInstanceArn() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- getNotebookInstanceArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- getNotebookInstanceArn() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Amazon Resource Name (ARN) of the notebook instance.
- getNotebookInstanceLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to delete.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to describe.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns the name of a notebook instance lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of a notebook instance lifecycle configuration associated with this notebook instance.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name of a notebook instances lifecycle configuration associated with this notebook instance.
- getNotebookInstanceLifecycleConfigs() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of the new notebook instance.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The name of the notebook instance.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
The name of the Amazon SageMaker notebook instance to delete.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
The name of the notebook instance that you want information about.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The name of the Amazon SageMaker notebook instance.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of the notebook instance that you want a summary for.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
The name of the notebook instance to start.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
The name of the notebook instance to terminate.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of the notebook instance to update.
- getNotebookInstances() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- getNotebookInstanceStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- getNotebookInstanceStatus() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- getNotificationConfiguration() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Configures notification of workers regarding available or expiring work items.
- getNotificationConfiguration() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Configures SNS topic notifications for available or expiring work items
- getNotificationConfiguration() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
- getNotificationTopicArn() - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
The ARN for the SNS topic to which notifications should be published.
- getNumberOfHumanWorkersPerDataObject() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The number of human workers that will label an object.
- getNumberOfHumanWorkersPerDataObject() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The configured number of workers per data object.
- getObjectiveStatus() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- getObjectiveStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status
of their final objective metric, that this tuning job launched.
- getObjectiveStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective
metric status, that this tuning job launched.
- getOnCreate() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- getOnCreate() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- getOnCreate() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance
- getOnStart() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- getOnStart() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- getOnStart() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- getOperator() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- getOperator() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the output location for the compiled model and the target device the model runs on.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output
data, if any.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the output location for the compiled model and the target device that the model runs on.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the
output data, if any.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies the path to the S3 bucket where you want to store model artifacts.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The S3 path where model artifacts that you configured when creating the job are stored.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning
job launches.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The S3 path where model artifacts that you configured when creating the job are stored.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
the path to the S3 bucket where you want to store model artifacts.
- getOutputDatasetS3Uri() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon S3 bucket location of the manifest file for labeled data.
- getOutputFilter() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch
transform job.
- getOverallBestTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM, this is the
TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job.
- getParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
- getParentHyperParameterTuningJobs() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- getPending() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs that are in progress and pending evaluation of their final objective metric.
- getPendingHuman() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects that need to be labeled by a human worker.
- getPreHumanTaskLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
- getPreHumanTaskLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of a Lambda function.
- getPrimaryContainer() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed for predictions.
- getPrimaryContainer() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
- getProductId() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The product identifier of the algorithm.
- getProductId() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The AWS Marketplace product ID of the model package.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An list of ProductionVariant objects, one for each model that you want to host at this endpoint.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- getProductListingIds() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- getProfileName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The name of the profile for the algorithm.
- getProfileName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The name of the profile for the model package.
- getPropertyName() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.
- getPropertyNameHint() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Text that is part of a property's name.
- getPropertyNameQuery() - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
A type of SuggestionQuery.
- getPropertyNameSuggestions() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- getPublicWorkforceTaskPrice() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The price that you pay for each task performed by a public worker.
- getRange() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The allowed range for this hyperparameter.
- getRecordWrapperType() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- getRegex() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
A regular expression that searches the output of a training job and gets the value of the metric.
- getRenderedContent() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A Liquid template that renders the HTML for the worker UI.
- getRepositoryUrl() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The URL where the Git repository is located.
- getResolutionTime() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The date and time when the image path for the model resolved to the ResolvedImage
- getResolvedImage() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The specific digest path of the image hosted in this ProductionVariant.
- getResource() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the Amazon SageMaker resource to Search for.
- getResource() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the Amazon SageMaker resource to search for.
- getResourceArn() - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
The Amazon Resource Name (ARN) of the resource that you want to tag.
- getResourceArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
- getResourceArn() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning
job launches.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- getResourceLimits() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs
for this tuning job.
- getResourceLimits() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs
allowed for this tuning job.
- getResults() - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchResult objects.
- getRetryableError() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed, but can be retried.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to
perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the model compilation job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the IAM role associated with the instance.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The AWS Identity and Access Management (IAM) role configured for the training job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The AWS Identity and Access Management (IAM) role configured for the training job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access the notebook instance.
- getRootAccess() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- getRootAccess() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- getRootAccess() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- getS3DataDistributionType() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for
model training, specify FullyReplicated.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The S3 location of the data source that is associated with a channel.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
The Amazon S3 location of the input data objects.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
The S3 location of the data source that is associated with a channel.
- getS3DataType() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- getS3DataType() - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- getS3ModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
The path of the S3 object that contains the model artifacts.
- getS3OutputLocation() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon S3 location to write output data.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
The S3 path where the model artifacts, which result from model training, are stored.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- getScalingType() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- getScalingType() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- getSearchExpression() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A Boolean conditional statement.
- getSearchSuggestions(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getSearchSuggestions(GetSearchSuggestionsRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
An auto-complete API for the search functionality in the Amazon SageMaker console.
- getSearchSuggestions(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
An auto-complete API for the search functionality in the Amazon SageMaker console.
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest, AsyncHandler<GetSearchSuggestionsRequest, GetSearchSuggestionsResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
An auto-complete API for the search functionality in the Amazon SageMaker console.
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest, AsyncHandler<GetSearchSuggestionsRequest, GetSearchSuggestionsResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
An auto-complete API for the search functionality in the Amazon SageMaker console.
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest, AsyncHandler<GetSearchSuggestionsRequest, GetSearchSuggestionsResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- GetSearchSuggestionsRequest - Class in com.amazonaws.services.sagemaker.model
-
- GetSearchSuggestionsRequest() - Constructor for class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
- GetSearchSuggestionsResult - Class in com.amazonaws.services.sagemaker.model
-
- GetSearchSuggestionsResult() - Constructor for class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
- getSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- getSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- getSecondaryStatusTransitions() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- getSecondaryStatusTransitions() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- getSecretArn() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the
git repository.
- getSecretArn() - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the
git repository.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- getSecurityGroups() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- getSeed() - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Determines the shuffling order in ShuffleConfig value.
- getSellerName() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The name of the vendor in the Amazon Marketplace.
- getSessionExpirationDurationInSeconds() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- getShuffleConfig() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
A configuration for a shuffle option for input data in a channel.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the resource property used to sort the SearchResults.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- getSourceAlgorithms() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- getSourceAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Details about the algorithm that was used to create the model package.
- getSourceAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the algorithm that was used to create the model package.
- getSpecifiedImage() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The image path you specified when you created the model.
- getSplitType() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned to the current secondary status state.
- getStaticHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the values of hyperparameters that do not change for the tuning job.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- getStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A detailed description of the progress within a secondary status.
- getStopped() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Specifies a limit to how long a model compilation job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies a limit to how long a model training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Specifies a limit to how long a model compilation job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Specifies a limit to how long a model training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies a limit to how long a model hyperparameter training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Specifies a limit to how long a model training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Specifies a limit to how long a model training job can run.
- getStoppingConditions() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
A set of conditions for stopping the labeling job.
- getStoppingConditions() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A set of conditions for stopping a labeling job.
- getStrategy() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- getStrategy() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
- getSubDomain() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The URI of the labeling job's user interface.
- getSubExpressions() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- getSubnetId() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
- getSubnetId() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The ID of the VPC subnet.
- getSubnets() - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- getSubscribedWorkteam() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
A Workteam instance that contains information about the work team.
- getSubscribedWorkteams() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- getSucceeded() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used
in the hyperparameter tuning process.
- getSuccess() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns true if the work team was successfully deleted; otherwise, returns false.
- getSuggestionQuery() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Limits the property names that are included in the response.
- getSupportedCompressionTypes() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- getSupportedContentTypes() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- getSupportedContentTypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- getSupportedHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- getSupportedInputModes() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- getSupportedRealtimeInferenceInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- getSupportedResponseMIMETypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- getSupportedTrainingInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- getSupportedTransformInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- getSupportedTuningJobObjectiveMetrics() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- getSupportsDistributedTraining() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Indicates whether the algorithm supports distributed training.
- getTagKeys() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of Tag objects.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the Amazon SageMaker resource.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
A list of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of tags to associate with the notebook instance.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
- getTags() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key/value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- getTargetDevice() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the device that you want to run your model on after it has been compiled.
- getTask() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A RenderableTask object containing a representative task to render.
- getTaskAvailabilityLifetimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The length of time that a task remains available for labelling by human workers.
- getTaskDescription() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A description of the task for your human workers.
- getTaskKeywords() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- getTaskTimeLimitInSeconds() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The amount of time that a worker has to complete a task.
- getTaskTitle() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A title for the task for your human workers.
- getTenthFractionsOfACent() - Method in class com.amazonaws.services.sagemaker.model.USD
-
Fractions of a cent, in tenths.
- getTimestamp() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The date and time that the algorithm emitted the metric.
- getTotal() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of tasks in the labeling job.
- getTotalLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled.
- getTrainingChannels() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job ends on training instances.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Specifies the time when the training job ends on training instances.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job ends on training instances.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job ended.
- getTrainingImage() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- getTrainingImage() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- getTrainingImage() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
The Amazon ECR registry path of the Docker image that contains the training algorithm.
- getTrainingImageDigest() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- getTrainingInputMode() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The input mode that the algorithm supports.
- getTrainingInputMode() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The input mode that the algorithm supports: File or Pipe.
- getTrainingInputMode() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The input mode used by the algorithm for the training job.
- getTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
A TrainingJob object that is returned as part of a Search request.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TrainingJobDefinition object that describes the training job that Amazon SageMaker runs to
validate your algorithm.
- getTrainingJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job
launches, including static hyperparameters, input data configuration, output data configuration, resource
configuration, and stopping condition.
- getTrainingJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getTrainingJobEarlyStoppingType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Name of the model training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
The name of the training job to stop.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The name of the training job that you want a summary for.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- getTrainingJobStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status,
that this tuning job launched.
- getTrainingJobStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status,
that this tuning job launched.
- getTrainingJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob request returned.
- getTrainingJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- getTrainingSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about training jobs run by this algorithm, including the following:
- getTrainingSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about training jobs run by this algorithm.
- getTrainingStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job starts on training instances.
- getTrainingStartTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job started.
- getTrainingStartTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job starts on training instances.
- getTransformEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job has been completed, or has stopped or failed.
- getTransformEndTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job ends on compute instances.
- getTransformInput() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the input source and the way the transform job consumes it.
- getTransformInput() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
- getTransformInput() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A description of the input source and the way the transform job consumes it.
- getTransformJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- getTransformJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- getTransformJobArn() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The Amazon Resource Name (ARN) of the transform job.
- getTransformJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TransformJobDefinition object that describes the transform job that Amazon SageMaker runs to
validate your algorithm.
- getTransformJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The TransformJobDefinition object that describes the transform job used for the validation of the
model package.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the transform job.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
The name of the transform job that you want to view details of.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the transform job.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
The name of the transform job to stop.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The name of the transform job.
- getTransformJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- getTransformJobStatus() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- getTransformJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- getTransformOutput() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the results of the transform job.
- getTransformOutput() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- getTransformOutput() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- getTransformResources() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- getTransformResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- getTransformResources() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the ML compute instances for the transform job.
- getTransformStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job starts on ML instances.
- getTunedHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
A list of the hyperparameters for which you specified ranges to search.
- getTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- getTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- getTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The HyperParameter tuning job that launched the training job.
- getType() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Whether to minimize or maximize the objective metric.
- getType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- getType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- getUiConfig() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Information about the user interface that workers use to complete the labeling task.
- getUiTemplate() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A Template object containing the worker UI template to render.
- getUiTemplateS3Uri() - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The Amazon S3 bucket location of the UI template.
- getUnlabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects not yet labeled.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The URL that you use to connect to the Jupyter instance running in your notebook instance.
- getUserGroup() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user group.
- getUserPool() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user pool.
- getValidationProfiles() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that Amazon SageMaker runs to validate your algorithm.
- getValidationProfiles() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that Amazon SageMaker runs to validate your model package.
- getValidationRole() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
The IAM roles that Amazon SageMaker uses to run the training jobs.
- getValidationRole() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
The IAM roles to be used for the validation of the model package.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's
training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the
algorithm's inference code.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
- getValidationStatuses() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- getValidationStatuses() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A value used with Resource and Operator to determine if objects satisfy the filter's
condition.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective metric.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The value of the metric.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag value.
- getValues() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- getValues() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The name of the variant to update.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the production variant.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The name of the variant.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
The AWS Key Management Service key ID for the key used to encrypt the output data, if any.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume
attached to the ML compute instance(s) that run the training job.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume
attached to the ML compute instance(s) that run the batch transform job.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The size, in GB, of the ML storage volume attached to the notebook instance.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
A
VpcConfig object that
specifies the VPC that you want your model to connect to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
A
VpcConfig object that specifies the VPC that you want your training job to connect to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A
VpcConfig object that specifies the VPC that this model has access to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A
VpcConfig object that specifies the VPC that this training job has access to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The
VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter
tuning job launches to connect to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A
VpcConfig object that specifies the VPC that this training job has access to.
- getWarmStartConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as
a starting point.
- getWarmStartConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
- getWarmStartType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- getWorkRequesterAccountId() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
- getWorkteam() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
A Workteam instance that contains information about the work team.
- getWorkteam() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
A Workteam object that describes the updated work team.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
The Amazon Resource Name (ARN) of the work team.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
The Amazon Resource Name (ARN) of the subscribed work team to describe.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the work team assigned to the job.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The Amazon Resource Name (ARN) of the vendor that you have subscribed.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) that identifies the work team.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the work team.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
The name of the work team to delete.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
The name of the work team to return a description of.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
The name of the work team to update.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The name of the work team.
- getWorkteams() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- GitConfig - Class in com.amazonaws.services.sagemaker.model
-
Specifies configuration details for a Git repository in your AWS account.
- GitConfig() - Constructor for class com.amazonaws.services.sagemaker.model.GitConfig
-
- GitConfigForUpdate - Class in com.amazonaws.services.sagemaker.model
-
Specifies configuration details for a Git repository when the repository is updated.
- GitConfigForUpdate() - Constructor for class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
- S3DataDistribution - Enum in com.amazonaws.services.sagemaker.model
-
- S3DataSource - Class in com.amazonaws.services.sagemaker.model
-
Describes the S3 data source.
- S3DataSource() - Constructor for class com.amazonaws.services.sagemaker.model.S3DataSource
-
- S3DataType - Enum in com.amazonaws.services.sagemaker.model
-
- search(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- search(SearchRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Finds Amazon SageMaker resources that match a search query.
- search(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Finds Amazon SageMaker resources that match a search query.
- searchAsync(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- searchAsync(SearchRequest, AsyncHandler<SearchRequest, SearchResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- searchAsync(SearchRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Finds Amazon SageMaker resources that match a search query.
- searchAsync(SearchRequest, AsyncHandler<SearchRequest, SearchResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Finds Amazon SageMaker resources that match a search query.
- searchAsync(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- searchAsync(SearchRequest, AsyncHandler<SearchRequest, SearchResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- SearchExpression - Class in com.amazonaws.services.sagemaker.model
-
A multi-expression that searches for the specified resource or resources in a search.
- SearchExpression() - Constructor for class com.amazonaws.services.sagemaker.model.SearchExpression
-
- SearchRecord - Class in com.amazonaws.services.sagemaker.model
-
An individual search result record that contains a single resource object.
- SearchRecord() - Constructor for class com.amazonaws.services.sagemaker.model.SearchRecord
-
- SearchRequest - Class in com.amazonaws.services.sagemaker.model
-
- SearchRequest() - Constructor for class com.amazonaws.services.sagemaker.model.SearchRequest
-
- SearchResult - Class in com.amazonaws.services.sagemaker.model
-
- SearchResult() - Constructor for class com.amazonaws.services.sagemaker.model.SearchResult
-
- SearchSortOrder - Enum in com.amazonaws.services.sagemaker.model
-
- SecondaryStatus - Enum in com.amazonaws.services.sagemaker.model
-
- SecondaryStatusTransition - Class in com.amazonaws.services.sagemaker.model
-
- SecondaryStatusTransition() - Constructor for class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
- setAcceleratorType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- setAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- setAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- setAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- setAccept(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- setAdditionalCodeRepositoryEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with associated with the specified git repository.
- setAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The Amazon Resource Name (ARN) of the algorithm.
- setAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
The Amazon Resource Name (ARN) of the new algorithm.
- setAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The Amazon Resource Name (ARN) of the algorithm.
- setAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A brief description of the algorithm.
- setAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
A description of the algorithm.
- setAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A brief summary about the algorithm.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The name of the algorithm resource to use for the training job.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The name of the algorithm that is described by the summary.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
The name of the algorithm.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
The name of the algorithm to delete.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
The name of the algorithm to describe.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The name of the algorithm being described.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The name of the resource algorithm to use for the hyperparameter tuning job.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The name of an algorithm that was used to create the model package.
- setAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata,
including the input mode.
- setAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the algorithm used for training, and algorithm metadata.
- setAlgorithmSpecification(HyperParameterAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- setAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the algorithm used for training, and algorithm metadata.
- setAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- setAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- setAlgorithmStatusDetails(AlgorithmStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about the current status of the algorithm.
- setAlgorithmSummaryList(Collection<AlgorithmSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- setAmountInUsd(USD) - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Defines the amount of money paid to a worker in United States dollars.
- setAnnotationConsolidationConfig(AnnotationConsolidationConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Configures how labels are consolidated across human workers.
- setAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation.
- setAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers
into a label for a data object.
- setAssembleWith(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- setAttributeNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- setAuthorizedUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
A JSON object that contains the URL string.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- setBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setBranch(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The default branch for the Git repository.
- setCategoricalParameterRanges(Collection<CategoricalParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a
hyperparameter tuning job searches.
- setCategoricalParameterRangeSpecification(CategoricalParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A CategoricalParameterRangeSpecification object that defines the possible values for a categorical
hyperparameter.
- setCents(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The fractional portion, in cents, of the amount.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Whether to certify the algorithm so that it can be listed in AWS Marketplace.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether to certify the model package for listing on AWS Marketplace.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Whether the algorithm is certified to be listed in AWS Marketplace.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Whether the model package is certified for listing on AWS Marketplace.
- setChannelName(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- setClientId(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for an application client.
- setCode(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A unique identifier for a specific class of errors.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The Amazon Resource Name (ARN) of the Git repository.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the new repository.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the Git repository.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
The ARN of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The name of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
The name of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
The name of the Git repository to delete.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
The name of the Git repository to describe.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The name of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The name of the Git repository to update.
- setCodeRepositorySummaryList(Collection<CodeRepositorySummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- setCognitoMemberDefinition(CognitoMemberDefinition) - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
The Amazon Cognito user group that is part of the work team.
- setCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job completed.
- setCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job on a compilation job instance ended.
- setCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The Amazon Resource Name (ARN) of the model compilation job.
- setCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
If the action is successful, the service sends back an HTTP 200 response.
- setCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The name of the model compilation job that you want a summary for.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A name for the model compilation job.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
The name of the model compilation job that you want information about.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The name of the model compilation job.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
The name of the model compilation job to stop.
- setCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- setCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- setCompilationJobSummaries(Collection<CompilationJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- setCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job started.
- setCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job started the CompilationJob instances.
- setCompilationTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after compilation has completed.
- setCompleted(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by the hyperparameter tuning job.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- setContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
This parameter is ignored for models that contain only a PrimaryContainer.
- setContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The DNS host name for the Docker container.
- setContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- setContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- setContainers(Collection<ModelPackageContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
The content of the Liquid template for the worker user interface.
- setContentClassifiers(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The MIME type of the data.
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The multipurpose internet mail extension (MIME) type of the data.
- setContinuousParameterRanges(Collection<ContinuousParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a
hyperparameter tuning job searches.
- setContinuousParameterRangeSpecification(ContinuousParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A ContinuousParameterRangeSpecification object that defines the possible values for a continuous
hyperparameter.
- setCreateDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was created (timestamp).
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A timestamp that shows when the algorithm was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A timestamp specifying when the algorithm was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the model compilation job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
A timestamp that shows when the endpoint configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job started.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A timestamp specifying when the model package was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A timestamp that shows when the model was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
A timestamp that shows when the transform Job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
A timestamp that shows when the endpoint configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The date and time that the labeling job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was created (timestamp).
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A timestamp that shows when the model package was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
A timestamp that indicates when the model was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
A timestamp that shows when the transform Job was created.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created after a specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations with a creation time greater than or equal to the specified
time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with a creation time greater than or equal to the specified time
(timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created after the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created before a specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created before the specified time.
- setCurrentInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances associated with the variant.
- setCurrentWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The weight associated with the variant.
- setDataAttributes(LabelingJobDataAttributes) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Attributes of the data specified by the customer.
- setDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- setDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The data structure used for combining the input data and inference in the output file.
- setDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- setDataSource(DataSource) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- setDataSource(LabelingJobDataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
The location of the input data.
- setDataSource(TransformDataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, which is, the S3 location of the input data that the model can
consume.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A Git repository to associate with the notebook instance as its default code repository.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Git repository associated with the notebook instance as its default code repository.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Git repository associated with the notebook instance as its default code repository.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Git repository to associate with the notebook instance as its default code repository.
- setDefaultCodeRepositoryContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name or URL of a Git repository associated with this notebook instance.
- setDefaultValue(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The default value for this hyperparameter.
- setDeployedImages(Collection<DeployedImage>) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
A brief description of the channel.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A description of the work team.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
A brief description of the hyperparameter.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
An updated description for the work team.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A description of the work team.
- setDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's capacity.
- setDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
- setDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's weight.
- setDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
- setDesiredWeightsAndCapacities(Collection<DesiredWeightAndCapacity>) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- setDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether Amazon SageMaker provides internet access to the notebook instance.
- setDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether Amazon SageMaker provides internet access to the notebook instance.
- setDisassociateAcceleratorTypes(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to remove from this notebook instance.
- setDisassociateAdditionalCodeRepositories(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of names or URLs of the default Git repositories to remove from this notebook instance.
- setDisassociateDefaultCodeRepository(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name or URL of the default Git repository to remove from this notebook instance.
- setDisassociateLifecycleConfig(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Set to true to remove the notebook instance lifecycle configuration currently associated with the
notebook instance.
- setDollars(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The whole number of dollars in the amount.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Isolates the model container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Isolates the training container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
If True, no inbound or outbound network calls can be made to or from the model container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster
for distributed training, choose True.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Isolates the training container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the TrainingJob was created with network isolation, the value is set to true.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
The Amazon Resource Name (ARN) of the updated endpoint.
- setEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- setEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- setEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The name of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of an endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
The name of the endpoint configuration that you want to delete.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
The name of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Name of the Amazon SageMaker endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The name of the endpoint configuration associated with this endpoint.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The name of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the new endpoint configuration.
- setEndpointConfigs(Collection<EndpointConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
The name of the endpoint that you want to delete.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
The name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the endpoint whose configuration you want to update.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
The name of an existing Amazon SageMaker endpoint.
- setEndpoints(Collection<EndpointSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- setEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- setEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned out of this secondary status state into another
secondary status state or when the training job has ended.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The environment variables to set in the Docker container.
- setErrors(Collection<RenderingError>) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- setExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and
docker image for deployment on ML compute instances or for batch transform jobs.
- setExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- setFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning
process.
- setFailedNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects that could not be labeled due to an error.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
if the overall status is Failed, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
If a model compilation job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
If the status of the endpoint is Failed, the reason why it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the tuning job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
If the job failed, the reason that it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
If status is Failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If the training job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
If the transform job failed, FailureReason describes why it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The reason that the training job failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
If the LabelingJobStatus field is Failed, this field contains a description of the
error.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
if the overall status is Failed, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the training job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
If the transform job failed, the reason it failed.
- setFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- setFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- setFinalActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data
labeling.
- setFinalHyperParameterTuningJobObjectiveMetric(FinalHyperParameterTuningJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- setFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- setFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- setFramework(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- setGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Configuration details for the Git repository, including the URL where it is located and the ARN of the AWS
Secrets Manager secret that contains the credentials used to access the repository.
- setGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Specifies details about the repository, including the URL where the repository is located, the default branch,
and credentials to use to access the repository.
- setGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Configuration details about the repository, including the URL where the repository is located, the default
branch, and the Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used
to access the repository.
- setGitConfig(GitConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the AWS Secrets
Manager secret that contains the credentials used to access the repository.
- setHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by a human worker.
- setHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects labeled by a human worker.
- setHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required for human workers to complete a labeling task.
- setHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information required for human workers to complete a labeling task.
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Algorithm-specific parameters that influence the quality of the model.
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Algorithm-specific parameters.
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Algorithm-specific parameters.
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The hyperparameters used for the training job.
- setHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job ended.
- setHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job ended.
- setHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- setHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- setHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The Amazon Resource Name (ARN) of the tuning job.
- setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the
objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the
tuning job.
- setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The name of the tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
The name of the tuning job to describe.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The name of the tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The name of the tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The name of the tuning job whose training jobs you want to list.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
The name of the tuning job to stop.
- setHyperParameterTuningJobObjective(HyperParameterTuningJobObjective) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
- setHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- setHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- setHyperParameterTuningJobSummaries(Collection<HyperParameterTuningJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- setImage(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- setImage(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- setImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- setImageScanStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- setImageScanStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about inference jobs that the algorithm runs, including the following:
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies details about inference jobs that can be run with models based on this model package, including the
following:
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about inference jobs that the algorithm runs.
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about inference jobs that can be run with models based on this model package.
- setInitialActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon Resource Nam (ARN) of the final
model used for auto-labeling.
- setInitialInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Number of instances to launch initially.
- setInitialVariantWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
- setInProgress(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of in-progress training jobs launched by a hyperparameter tuning job.
- setInput(String) - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
A JSON object that contains values for the variables defined in the template.
- setInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the location of input model artifacts, the name and shape of the expected data inputs,
and the framework in which the model was trained.
- setInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the
manifest file that describes the data objects.
- setInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data
inputs, and the framework in which the model was trained.
- setInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the
location of the manifest file that describes the data objects.
- setInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Input configuration for the labeling job.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel objects that specify the input for the training jobs that the tuning job launches.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- setInputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A JSONPath expression used to select a portion of the input data to pass to the algorithm.
- setInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The number of ML compute instances to use.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The number of ML compute instances to use in the transform job.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- setIntegerParameterRanges(Collection<IntegerParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a
hyperparameter tuning job searches.
- setIntegerParameterRangeSpecification(IntegerParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A IntegerParameterRangeSpecification object that defines the possible values for an integer
hyperparameter.
- setIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Indicates whether the channel is required by the algorithm.
- setIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is required.
- setIsTunable(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
- setJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A unique identifier for work done as part of a labeling job.
- setJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
A unique identifier for a labeling job.
- setJobReferenceCodeContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter the limits jobs to only the ones whose job reference code contains the specified string.
- setJoinSource(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- setKey(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag key.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on
the storage volume attached to the ML compute instance that hosts the endpoint.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on
the storage volume attached to your notebook instance.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the
instance.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the
instance.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The AWS Key Management Service ID of the key used to encrypt the output data, if any.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption.
- setLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The attribute name to use for the label in the output manifest file.
- setLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The attribute used as the label in the output manifest file.
- setLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The S3 URL of the file that defines the categories used to label the data objects.
- setLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The S3 location of the JSON file that defines the categories used to label data objects.
- setLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine,
the number of objects than couldn't be labeled, and the total number of objects labeled.
- setLabelCounters(LabelCountersForWorkteam) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Provides information about the progress of a labeling job.
- setLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Counts showing the progress of the labeling job.
- setLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required to perform automated data labeling.
- setLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information for automated data labeling.
- setLabelingJobAlgorithmSpecificationArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the labeling job.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The name of the labeling job.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
The name of the labeling job to return information for.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The name assigned to the labeling job when it was created.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The name of the labeling job that the work team is assigned to.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The name of the labeling job.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
The name of the labeling job to stop.
- setLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the output produced by the labeling job.
- setLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The location of the output produced by the labeling job.
- setLabelingJobResourceConfig(LabelingJobResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Provides configuration information for a labeling job.
- setLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- setLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- setLabelingJobSummaryList(Collection<LabelingJobForWorkteamSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- setLabelingJobSummaryList(Collection<LabelingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was last changed.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the status of the model compilation job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the status of the tuning job was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the status of the training job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was last modified (timestamp).
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the status of the training job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Timestamp when the training job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job was last modified.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified after the specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified after a specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified after the specified timestamp.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified after the specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified after the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified before the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified before a specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified before the specified timestamp.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified before the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified before the specified time.
- setLastUpdatedDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was last updated (timestamp).
- setLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- setLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- setListingId(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
- setMachineLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by automated data labeling.
- setManifestS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
The Amazon S3 location of the manifest file that describes the input data objects.
- setMarketplaceDescription(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The description of the vendor from the Amazon Marketplace.
- setMarketplaceTitle(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The title of the service provided by the vendor in the Amazon Marketplace.
- setMaxConcurrentTaskCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Defines the maximum number of data objects that can be labeled by human workers at the same time.
- setMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- setMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum number of parallel requests on each instance node that can be launched in a transform job.
- setMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- setMaxHumanLabeledObjectCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of objects that can be labeled by human workers.
- setMaxNumberOfTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of training jobs that a hyperparameter tuning job can launch.
- setMaxParallelTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum allowed size of the payload, in MB.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size, in MB, used in the transform job.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum payload size allowed, in MB.
- setMaxPercentageOfInputDatasetLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of input data objects that should be labeled.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The maximum number of algorithms to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The maximum number of Git repositories to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The maximum number of model compilation jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The maximum number of training jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The maximum number of endpoints to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The maximum number of tuning jobs to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The maximum number of labeling jobs to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The maximum number of labeling jobs to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The maximum number of model packages to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The maximum number of models to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The maximum number of lifecycle configurations to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The maximum number of notebook instances to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Maximum number of tags to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The maximum number of training jobs to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The maximum number of training jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The maximum number of transform jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The maximum number of results to return in a SearchResponse.
- setMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that the training or compilation job can run.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The maximum value for the hyperparameter.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The maximum floating-point value allowed.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The maximum integer value allowed.
- setMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the Amazon Cognito user pool
that makes up the work team.
- setMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contain the updated work team members.
- setMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Cognito user groups that make up the work team.
- setMessage(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A human-readable message describing the error.
- setMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- setMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition objects that specify the metrics that the algorithm emits.
- setMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The name of the objective metric.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
The name of the metric to use for the objective metric.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The name of the metric.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The minimum value for the hyperparameter.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The minimum floating-point value allowed.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The minimum integer value allowed.
- setModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
The ARN of the model created in Amazon SageMaker.
- setModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the model.
- setModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The Amazon Resource Name (ARN) of the model.
- setModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the
compilation job.
- setModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- setModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- setModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The S3 path where the model artifacts, which result from model training, are stored.
- setModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- setModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The name of the new model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the model that you want to use for the transform job.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
The name of the model to delete.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Name of the Amazon SageMaker model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the model used in the transform job.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The name of the model that you want a summary for.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the model that you want to host.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
The Amazon Resource Name (ARN) of the new model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Resource Name (ARN) of the model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A description of the model package.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A brief summary of the model package.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A brief description of the model package.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name of the model package.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
The name of the model package.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
The name of the model package to describe.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The name of the model package being described.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The name of the model package.
- setModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- setModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- setModelPackageStatusDetails(ModelPackageStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the current status of the model package.
- setModelPackageSummaryList(Collection<ModelPackageSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- setModels(Collection<ModelSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The name of the algorithm for which the overall status is being reported.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The name of the channel.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The name of the continuous hyperparameter to tune.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A property name.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The name of this hyperparameter.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The name of the hyperparameter to search.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The name of the model package for which the overall status is being reported.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A string in the algorithm name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A string in the Git repositories name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs whose name contains a specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A string in the endpoint configuration name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A string in endpoint names.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A string in the tuning job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A string in the labeling job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A string in the model package name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A string in the training job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A string in the lifecycle configuration name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the notebook instances' name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
A string in the work team name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A string in the training job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A string in the transform job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
A string in the work team's name.
- setNestedFilters(Collection<NestedFilters>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- setNestedPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
The name of the property to use in the nested filters.
- setNetworkInterfaceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The network interface IDs that Amazon SageMaker created at the time of creating the instance.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
If the response to a previous ListAlgorithms request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
If the response is truncated, Amazon SageMaker returns this NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
If the result of the previous ListEndpointConfig request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
If the result of a ListEndpoints request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
If the result of the previous ListHyperParameterTuningJobs request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
If the result of the previous ListLabelingJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
If the response to a previous ListModelPackages request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
If the response to a previous ListModels request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes
a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
If the previous call to the ListNotebookInstances is truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
If the response to the previous ListNotebookInstances request was truncated, Amazon SageMaker
returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
If the response to the previous ListTags request is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
If response is truncated, Amazon SageMaker includes a token in the response.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the
response includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
If the result of the previous ListTrainingJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
If the result of the previous ListTransformJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
If the result of the previous ListWorkteams request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
If more than MaxResults resource objects match the specified SearchExpression, the
SearchResponse includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
If the result of the previous Search request was truncated, the response includes a NextToken.
- setNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed and can't be retried.
- setNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- setNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- setNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Amazon Resource Name (ARN) of the notebook instance.
- setNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to delete.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to describe.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns the name of a notebook instance lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of a notebook instance lifecycle configuration associated with this notebook instance.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name of a notebook instances lifecycle configuration associated with this notebook instance.
- setNotebookInstanceLifecycleConfigs(Collection<NotebookInstanceLifecycleConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of the new notebook instance.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The name of the notebook instance.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
The name of the Amazon SageMaker notebook instance to delete.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
The name of the notebook instance that you want information about.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The name of the Amazon SageMaker notebook instance.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of the notebook instance that you want a summary for.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
The name of the notebook instance to start.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
The name of the notebook instance to terminate.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of the notebook instance to update.
- setNotebookInstances(Collection<NotebookInstanceSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- setNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- setNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- setNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Configures notification of workers regarding available or expiring work items.
- setNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Configures SNS topic notifications for available or expiring work items
- setNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
- setNotificationTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
The ARN for the SNS topic to which notifications should be published.
- setNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The number of human workers that will label an object.
- setNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The configured number of workers per data object.
- setObjectiveStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- setObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status
of their final objective metric, that this tuning job launched.
- setObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective
metric status, that this tuning job launched.
- setOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- setOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- setOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance
- setOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- setOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- setOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- setOperator(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- setOperator(String) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- setOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the output location for the compiled model and the target device the model runs on.
- setOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output
data, if any.
- setOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the output location for the compiled model and the target device that the model runs on.
- setOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the
output data, if any.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies the path to the S3 bucket where you want to store model artifacts.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The S3 path where model artifacts that you configured when creating the job are stored.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning
job launches.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The S3 path where model artifacts that you configured when creating the job are stored.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
the path to the S3 bucket where you want to store model artifacts.
- setOutputDatasetS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon S3 bucket location of the manifest file for labeled data.
- setOutputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch
transform job.
- setOverallBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM, this is the
TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job.
- setParameterRanges(ParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
- setParentHyperParameterTuningJobs(Collection<ParentHyperParameterTuningJob>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- setPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs that are in progress and pending evaluation of their final objective metric.
- setPendingHuman(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects that need to be labeled by a human worker.
- setPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
- setPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of a Lambda function.
- setPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed for predictions.
- setPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
- setProductId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The product identifier of the algorithm.
- setProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The AWS Marketplace product ID of the model package.
- setProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An list of ProductionVariant objects, one for each model that you want to host at this endpoint.
- setProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- setProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- setProductListingIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- setProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The name of the profile for the algorithm.
- setProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The name of the profile for the model package.
- setPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.
- setPropertyNameHint(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Text that is part of a property's name.
- setPropertyNameQuery(PropertyNameQuery) - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
A type of SuggestionQuery.
- setPropertyNameSuggestions(Collection<PropertyNameSuggestion>) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- setPublicWorkforceTaskPrice(PublicWorkforceTaskPrice) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The price that you pay for each task performed by a public worker.
- setRange(ParameterRange) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The allowed range for this hyperparameter.
- setRecordWrapperType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- setRegex(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
A regular expression that searches the output of a training job and gets the value of the metric.
- setRenderedContent(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A Liquid template that renders the HTML for the worker UI.
- setRepositoryUrl(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The URL where the Git repository is located.
- setResolutionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The date and time when the image path for the model resolved to the ResolvedImage
- setResolvedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The specific digest path of the image hosted in this ProductionVariant.
- setResource(String) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the Amazon SageMaker resource to Search for.
- setResource(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the Amazon SageMaker resource to search for.
- setResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
The Amazon Resource Name (ARN) of the resource that you want to tag.
- setResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
- setResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning
job launches.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- setResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs
for this tuning job.
- setResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs
allowed for this tuning job.
- setResults(Collection<SearchRecord>) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchResult objects.
- setRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed, but can be retried.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to
perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the model compilation job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the IAM role associated with the instance.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The AWS Identity and Access Management (IAM) role configured for the training job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The AWS Identity and Access Management (IAM) role configured for the training job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access the notebook instance.
- setRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- setRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- setRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- setS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for
model training, specify FullyReplicated.
- setS3DataSource(S3DataSource) - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The S3 location of the data source that is associated with a channel.
- setS3DataSource(LabelingJobS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
The Amazon S3 location of the input data objects.
- setS3DataSource(TransformS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
The S3 location of the data source that is associated with a channel.
- setS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- setS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- setS3ModelArtifacts(String) - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
The path of the S3 object that contains the model artifacts.
- setS3OutputLocation(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon S3 location to write output data.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
The S3 path where the model artifacts, which result from model training, are stored.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- setScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- setScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- setSearchExpression(SearchExpression) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A Boolean conditional statement.
- setSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- setSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- setSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- setSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- setSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the
git repository.
- setSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the
git repository.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- setSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- setSeed(Long) - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Determines the shuffling order in ShuffleConfig value.
- setSellerName(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The name of the vendor in the Amazon Marketplace.
- setSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- setShuffleConfig(ShuffleConfig) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
A configuration for a shuffle option for input data in a channel.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the resource property used to sort the SearchResults.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- setSourceAlgorithms(Collection<SourceAlgorithm>) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- setSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Details about the algorithm that was used to create the model package.
- setSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the algorithm that was used to create the model package.
- setSpecifiedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The image path you specified when you created the model.
- setSplitType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned to the current secondary status state.
- setStaticHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the values of hyperparameters that do not change for the tuning job.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- setStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A detailed description of the progress within a secondary status.
- setStopped(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Specifies a limit to how long a model compilation job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies a limit to how long a model training job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Specifies a limit to how long a model compilation job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Specifies a limit to how long a model training job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies a limit to how long a model hyperparameter training job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Specifies a limit to how long a model training job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Specifies a limit to how long a model training job can run.
- setStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
A set of conditions for stopping the labeling job.
- setStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A set of conditions for stopping a labeling job.
- setStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- setStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
- setSubDomain(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The URI of the labeling job's user interface.
- setSubExpressions(Collection<SearchExpression>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- setSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
- setSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The ID of the VPC subnet.
- setSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- setSubscribedWorkteam(SubscribedWorkteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
A Workteam instance that contains information about the work team.
- setSubscribedWorkteams(Collection<SubscribedWorkteam>) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- setSucceeded(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used
in the hyperparameter tuning process.
- setSuccess(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns true if the work team was successfully deleted; otherwise, returns false.
- setSuggestionQuery(SuggestionQuery) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Limits the property names that are included in the response.
- setSupportedCompressionTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- setSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- setSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- setSupportedHyperParameters(Collection<HyperParameterSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- setSupportedInputModes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- setSupportedRealtimeInferenceInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- setSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- setSupportedTrainingInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- setSupportedTransformInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- setSupportedTuningJobObjectiveMetrics(Collection<HyperParameterTuningJobObjective>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- setSupportsDistributedTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Indicates whether the algorithm supports distributed training.
- setTagKeys(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of Tag objects.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the Amazon SageMaker resource.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
A list of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of tags to associate with the notebook instance.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key/value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- setTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the device that you want to run your model on after it has been compiled.
- setTask(RenderableTask) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A RenderableTask object containing a representative task to render.
- setTaskAvailabilityLifetimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The length of time that a task remains available for labelling by human workers.
- setTaskDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A description of the task for your human workers.
- setTaskKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- setTaskTimeLimitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The amount of time that a worker has to complete a task.
- setTaskTitle(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A title for the task for your human workers.
- setTenthFractionsOfACent(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
Fractions of a cent, in tenths.
- setTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The date and time that the algorithm emitted the metric.
- setTotal(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of tasks in the labeling job.
- setTotalLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled.
- setTrainingChannels(Collection<ChannelSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job ends on training instances.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Specifies the time when the training job ends on training instances.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job ends on training instances.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job ended.
- setTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- setTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- setTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
The Amazon ECR registry path of the Docker image that contains the training algorithm.
- setTrainingImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- setTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The input mode that the algorithm supports.
- setTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The input mode that the algorithm supports: File or Pipe.
- setTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The input mode used by the algorithm for the training job.
- setTrainingJob(TrainingJob) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
A TrainingJob object that is returned as part of a Search request.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobDefinition(TrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TrainingJobDefinition object that describes the training job that Amazon SageMaker runs to
validate your algorithm.
- setTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job
launches, including static hyperparameters, input data configuration, output data configuration, resource
configuration, and stopping condition.
- setTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setTrainingJobEarlyStoppingType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Name of the model training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
The name of the training job to stop.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The name of the training job that you want a summary for.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- setTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status,
that this tuning job launched.
- setTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status,
that this tuning job launched.
- setTrainingJobSummaries(Collection<HyperParameterTrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob request returned.
- setTrainingJobSummaries(Collection<TrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- setTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about training jobs run by this algorithm, including the following:
- setTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about training jobs run by this algorithm.
- setTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job starts on training instances.
- setTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job started.
- setTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job starts on training instances.
- setTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job has been completed, or has stopped or failed.
- setTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job ends on compute instances.
- setTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the input source and the way the transform job consumes it.
- setTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
- setTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A description of the input source and the way the transform job consumes it.
- setTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- setTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- setTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The Amazon Resource Name (ARN) of the transform job.
- setTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TransformJobDefinition object that describes the transform job that Amazon SageMaker runs to
validate your algorithm.
- setTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The TransformJobDefinition object that describes the transform job used for the validation of the
model package.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the transform job.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
The name of the transform job that you want to view details of.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the transform job.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
The name of the transform job to stop.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The name of the transform job.
- setTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- setTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- setTransformJobSummaries(Collection<TransformJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- setTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the results of the transform job.
- setTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- setTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- setTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- setTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- setTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the ML compute instances for the transform job.
- setTransformStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job starts on ML instances.
- setTunedHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
A list of the hyperparameters for which you specified ranges to search.
- setTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- setTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- setTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The HyperParameter tuning job that launched the training job.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Whether to minimize or maximize the objective metric.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- setUiConfig(UiConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Information about the user interface that workers use to complete the labeling task.
- setUiTemplate(UiTemplate) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A Template object containing the worker UI template to render.
- setUiTemplateS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The Amazon S3 bucket location of the UI template.
- setUnlabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects not yet labeled.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The URL that you use to connect to the Jupyter instance running in your notebook instance.
- setUserGroup(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user group.
- setUserPool(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user pool.
- setValidationProfiles(Collection<AlgorithmValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that Amazon SageMaker runs to validate your algorithm.
- setValidationProfiles(Collection<ModelPackageValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that Amazon SageMaker runs to validate your model package.
- setValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
The IAM roles that Amazon SageMaker uses to run the training jobs.
- setValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
The IAM roles to be used for the validation of the model package.
- setValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's
training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the
algorithm's inference code.
- setValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
- setValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
- setValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
- setValidationStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- setValidationStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A value used with Resource and Operator to determine if objects satisfy the filter's
condition.
- setValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective metric.
- setValue(Float) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The value of the metric.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag value.
- setValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- setValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The name of the variant to update.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the production variant.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The name of the variant.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
The AWS Key Management Service key ID for the key used to encrypt the output data, if any.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume
attached to the ML compute instance(s) that run the training job.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume
attached to the ML compute instance(s) that run the batch transform job.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The size, in GB, of the ML storage volume attached to the notebook instance.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
A
VpcConfig object that
specifies the VPC that you want your model to connect to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
A
VpcConfig object that specifies the VPC that you want your training job to connect to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A
VpcConfig object that specifies the VPC that this model has access to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A
VpcConfig object that specifies the VPC that this training job has access to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The
VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter
tuning job launches to connect to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A
VpcConfig object that specifies the VPC that this training job has access to.
- setWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as
a starting point.
- setWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
- setWarmStartType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- setWorkRequesterAccountId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
- setWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
A Workteam instance that contains information about the work team.
- setWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
A Workteam object that describes the updated work team.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
The Amazon Resource Name (ARN) of the work team.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
The Amazon Resource Name (ARN) of the subscribed work team to describe.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the work team assigned to the job.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The Amazon Resource Name (ARN) of the vendor that you have subscribed.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) that identifies the work team.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the work team.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
The name of the work team to delete.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
The name of the work team to return a description of.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
The name of the work team to update.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The name of the work team.
- setWorkteams(Collection<Workteam>) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- ShuffleConfig - Class in com.amazonaws.services.sagemaker.model
-
A configuration for a shuffle option for input data in a channel.
- ShuffleConfig() - Constructor for class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
- shutdown() - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- shutdown() - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Shuts down this client object, releasing any resources that might be held open.
- shutdown() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
Shuts down the client, releasing all managed resources.
- shutdown() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
- shutdown() - Method in class com.amazonaws.services.sagemaker.waiters.AmazonSageMakerWaiters
-
- SortBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortOrder - Enum in com.amazonaws.services.sagemaker.model
-
- SourceAlgorithm - Class in com.amazonaws.services.sagemaker.model
-
Specifies an algorithm that was used to create the model package.
- SourceAlgorithm() - Constructor for class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
- SourceAlgorithmSpecification - Class in com.amazonaws.services.sagemaker.model
-
A list of algorithms that were used to create a model package.
- SourceAlgorithmSpecification() - Constructor for class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
- SplitType - Enum in com.amazonaws.services.sagemaker.model
-
- standard() - Static method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClientBuilder
-
- standard() - Static method in class com.amazonaws.services.sagemaker.AmazonSageMakerClientBuilder
-
- startNotebookInstance(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- startNotebookInstance(StartNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstance(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstanceAsync(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startNotebookInstanceAsync(StartNotebookInstanceRequest, AsyncHandler<StartNotebookInstanceRequest, StartNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startNotebookInstanceAsync(StartNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstanceAsync(StartNotebookInstanceRequest, AsyncHandler<StartNotebookInstanceRequest, StartNotebookInstanceResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstanceAsync(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- startNotebookInstanceAsync(StartNotebookInstanceRequest, AsyncHandler<StartNotebookInstanceRequest, StartNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StartNotebookInstanceRequest - Class in com.amazonaws.services.sagemaker.model
-
- StartNotebookInstanceRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
- StartNotebookInstanceResult - Class in com.amazonaws.services.sagemaker.model
-
- StartNotebookInstanceResult() - Constructor for class com.amazonaws.services.sagemaker.model.StartNotebookInstanceResult
-
- stopCompilationJob(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopCompilationJob(StopCompilationJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a model compilation job.
- stopCompilationJob(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a model compilation job.
- stopCompilationJobAsync(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopCompilationJobAsync(StopCompilationJobRequest, AsyncHandler<StopCompilationJobRequest, StopCompilationJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopCompilationJobAsync(StopCompilationJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a model compilation job.
- stopCompilationJobAsync(StopCompilationJobRequest, AsyncHandler<StopCompilationJobRequest, StopCompilationJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a model compilation job.
- stopCompilationJobAsync(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopCompilationJobAsync(StopCompilationJobRequest, AsyncHandler<StopCompilationJobRequest, StopCompilationJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopCompilationJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopCompilationJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
- StopCompilationJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopCompilationJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopCompilationJobResult
-
- stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest, AsyncHandler<StopHyperParameterTuningJobRequest, StopHyperParameterTuningJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest, AsyncHandler<StopHyperParameterTuningJobRequest, StopHyperParameterTuningJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest, AsyncHandler<StopHyperParameterTuningJobRequest, StopHyperParameterTuningJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopHyperParameterTuningJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopHyperParameterTuningJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
- StopHyperParameterTuningJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopHyperParameterTuningJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobResult
-
- stopLabelingJob(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopLabelingJob(StopLabelingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a running labeling job.
- stopLabelingJob(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a running labeling job.
- stopLabelingJobAsync(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopLabelingJobAsync(StopLabelingJobRequest, AsyncHandler<StopLabelingJobRequest, StopLabelingJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopLabelingJobAsync(StopLabelingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running labeling job.
- stopLabelingJobAsync(StopLabelingJobRequest, AsyncHandler<StopLabelingJobRequest, StopLabelingJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running labeling job.
- stopLabelingJobAsync(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopLabelingJobAsync(StopLabelingJobRequest, AsyncHandler<StopLabelingJobRequest, StopLabelingJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopLabelingJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopLabelingJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
- StopLabelingJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopLabelingJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopLabelingJobResult
-
- stopNotebookInstance(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopNotebookInstance(StopNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Terminates the ML compute instance.
- stopNotebookInstance(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Terminates the ML compute instance.
- stopNotebookInstanceAsync(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopNotebookInstanceAsync(StopNotebookInstanceRequest, AsyncHandler<StopNotebookInstanceRequest, StopNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopNotebookInstanceAsync(StopNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Terminates the ML compute instance.
- stopNotebookInstanceAsync(StopNotebookInstanceRequest, AsyncHandler<StopNotebookInstanceRequest, StopNotebookInstanceResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Terminates the ML compute instance.
- stopNotebookInstanceAsync(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopNotebookInstanceAsync(StopNotebookInstanceRequest, AsyncHandler<StopNotebookInstanceRequest, StopNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopNotebookInstanceRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopNotebookInstanceRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
- StopNotebookInstanceResult - Class in com.amazonaws.services.sagemaker.model
-
- StopNotebookInstanceResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopNotebookInstanceResult
-
- StoppingCondition - Class in com.amazonaws.services.sagemaker.model
-
Specifies a limit to how long a model training or compilation job can run.
- StoppingCondition() - Constructor for class com.amazonaws.services.sagemaker.model.StoppingCondition
-
- stopTrainingJob(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopTrainingJob(StopTrainingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a training job.
- stopTrainingJob(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a training job.
- stopTrainingJobAsync(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTrainingJobAsync(StopTrainingJobRequest, AsyncHandler<StopTrainingJobRequest, StopTrainingJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTrainingJobAsync(StopTrainingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a training job.
- stopTrainingJobAsync(StopTrainingJobRequest, AsyncHandler<StopTrainingJobRequest, StopTrainingJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a training job.
- stopTrainingJobAsync(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopTrainingJobAsync(StopTrainingJobRequest, AsyncHandler<StopTrainingJobRequest, StopTrainingJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopTrainingJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopTrainingJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
- StopTrainingJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopTrainingJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopTrainingJobResult
-
- stopTransformJob(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopTransformJob(StopTransformJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a transform job.
- stopTransformJob(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a transform job.
- stopTransformJobAsync(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTransformJobAsync(StopTransformJobRequest, AsyncHandler<StopTransformJobRequest, StopTransformJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTransformJobAsync(StopTransformJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a transform job.
- stopTransformJobAsync(StopTransformJobRequest, AsyncHandler<StopTransformJobRequest, StopTransformJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a transform job.
- stopTransformJobAsync(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopTransformJobAsync(StopTransformJobRequest, AsyncHandler<StopTransformJobRequest, StopTransformJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopTransformJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopTransformJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
- StopTransformJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopTransformJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopTransformJobResult
-
- SubscribedWorkteam - Class in com.amazonaws.services.sagemaker.model
-
Describes a work team of a vendor that does the a labelling job.
- SubscribedWorkteam() - Constructor for class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
- SuggestionQuery - Class in com.amazonaws.services.sagemaker.model
-
Limits the property names that are included in the response.
- SuggestionQuery() - Constructor for class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
- Tag - Class in com.amazonaws.services.sagemaker.model
-
Describes a tag.
- Tag() - Constructor for class com.amazonaws.services.sagemaker.model.Tag
-
- TargetDevice - Enum in com.amazonaws.services.sagemaker.model
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AlgorithmSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AlgorithmStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AssemblyType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.BatchStrategy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.BooleanOperator
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CodeRepositorySortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CodeRepositorySortOrder
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CompilationJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CompressionType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ContentClassifier
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DetailedAlgorithmStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DetailedModelPackageStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DirectInternetAccess
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EndpointConfigSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EndpointSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EndpointStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.Framework
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterScalingType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjectiveType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSortByOptions
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStrategyType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.InstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.JoinSource
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.LabelingJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListCompilationJobsSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamSortByOptions
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListWorkteamsSortByOptions
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelPackageSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelPackageStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceAcceleratorType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSortOrder
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ObjectiveStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.Operator
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.OrderKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ParameterType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProductionVariantAcceleratorType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProductionVariantInstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecordWrapper
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ResourceType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RootAccess
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.S3DataDistribution
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.S3DataType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SearchSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SecondaryStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortOrder
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SplitType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Tag
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TargetDevice
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingInputMode
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingInstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingJobEarlyStoppingType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingJobSortByOptions
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TransformInstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TransformJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.USD
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
Returns a string representation of this object.
- TrainingInputMode - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingInstanceType - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJob - Class in com.amazonaws.services.sagemaker.model
-
Contains information about a training job.
- TrainingJob() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJob
-
- trainingJobCompletedOrStopped() - Method in class com.amazonaws.services.sagemaker.waiters.AmazonSageMakerWaiters
-
Builds a TrainingJobCompletedOrStopped waiter by using custom parameters waiterParameters and other parameters
defined in the waiters specification, and then polls until it determines whether the resource entered the desired
state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
- TrainingJobDefinition - Class in com.amazonaws.services.sagemaker.model
-
Defines the input needed to run a training job using the algorithm.
- TrainingJobDefinition() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
- TrainingJobEarlyStoppingType - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJobSortByOptions - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJobStatus - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJobStatusCounters - Class in com.amazonaws.services.sagemaker.model
-
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
- TrainingJobStatusCounters() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
- TrainingJobSummary - Class in com.amazonaws.services.sagemaker.model
-
Provides summary information about a training job.
- TrainingJobSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
- TrainingSpecification - Class in com.amazonaws.services.sagemaker.model
-
Defines how the algorithm is used for a training job.
- TrainingSpecification() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
- TransformDataSource - Class in com.amazonaws.services.sagemaker.model
-
Describes the location of the channel data.
- TransformDataSource() - Constructor for class com.amazonaws.services.sagemaker.model.TransformDataSource
-
- TransformInput - Class in com.amazonaws.services.sagemaker.model
-
Describes the input source of a transform job and the way the transform job consumes it.
- TransformInput() - Constructor for class com.amazonaws.services.sagemaker.model.TransformInput
-
- TransformInstanceType - Enum in com.amazonaws.services.sagemaker.model
-
- transformJobCompletedOrStopped() - Method in class com.amazonaws.services.sagemaker.waiters.AmazonSageMakerWaiters
-
Builds a TransformJobCompletedOrStopped waiter by using custom parameters waiterParameters and other parameters
defined in the waiters specification, and then polls until it determines whether the resource entered the desired
state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
- TransformJobDefinition - Class in com.amazonaws.services.sagemaker.model
-
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
- TransformJobDefinition() - Constructor for class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
- TransformJobStatus - Enum in com.amazonaws.services.sagemaker.model
-
- TransformJobSummary - Class in com.amazonaws.services.sagemaker.model
-
Provides a summary of a transform job.
- TransformJobSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
- TransformOutput - Class in com.amazonaws.services.sagemaker.model
-
Describes the results of a transform job.
- TransformOutput() - Constructor for class com.amazonaws.services.sagemaker.model.TransformOutput
-
- TransformResources - Class in com.amazonaws.services.sagemaker.model
-
Describes the resources, including ML instance types and ML instance count, to use for transform job.
- TransformResources() - Constructor for class com.amazonaws.services.sagemaker.model.TransformResources
-
- TransformS3DataSource - Class in com.amazonaws.services.sagemaker.model
-
Describes the S3 data source.
- TransformS3DataSource() - Constructor for class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
- waiters() - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- waiters() - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
- waiters() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
- withAcceleratorType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- withAcceleratorType(ProductionVariantAcceleratorType) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- withAcceleratorTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(NotebookInstanceAcceleratorType...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- withAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- withAcceleratorTypes(NotebookInstanceAcceleratorType...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- withAcceleratorTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(NotebookInstanceAcceleratorType...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- withAccept(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositoryEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with associated with the specified git repository.
- withAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The Amazon Resource Name (ARN) of the algorithm.
- withAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
The Amazon Resource Name (ARN) of the new algorithm.
- withAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The Amazon Resource Name (ARN) of the algorithm.
- withAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A brief description of the algorithm.
- withAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
A description of the algorithm.
- withAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A brief summary about the algorithm.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The name of the algorithm resource to use for the training job.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The name of the algorithm that is described by the summary.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
The name of the algorithm.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
The name of the algorithm to delete.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
The name of the algorithm to describe.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The name of the algorithm being described.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The name of the resource algorithm to use for the hyperparameter tuning job.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The name of an algorithm that was used to create the model package.
- withAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata,
including the input mode.
- withAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the algorithm used for training, and algorithm metadata.
- withAlgorithmSpecification(HyperParameterAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- withAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the algorithm used for training, and algorithm metadata.
- withAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- withAlgorithmStatus(AlgorithmStatus) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- withAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- withAlgorithmStatus(AlgorithmStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- withAlgorithmStatusDetails(AlgorithmStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about the current status of the algorithm.
- withAlgorithmSummaryList(AlgorithmSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- withAlgorithmSummaryList(Collection<AlgorithmSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- withAmountInUsd(USD) - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Defines the amount of money paid to a worker in United States dollars.
- withAnnotationConsolidationConfig(AnnotationConsolidationConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Configures how labels are consolidated across human workers.
- withAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation.
- withAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers
into a label for a data object.
- withAssembleWith(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- withAssembleWith(AssemblyType) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- withAttributeNames(String...) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- withAttributeNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- withAuthorizedUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
A JSON object that contains the URL string.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- withBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withBranch(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The default branch for the Git repository.
- withCategoricalParameterRanges(CategoricalParameterRange...) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a
hyperparameter tuning job searches.
- withCategoricalParameterRanges(Collection<CategoricalParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a
hyperparameter tuning job searches.
- withCategoricalParameterRangeSpecification(CategoricalParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A CategoricalParameterRangeSpecification object that defines the possible values for a categorical
hyperparameter.
- withCents(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The fractional portion, in cents, of the amount.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Whether to certify the algorithm so that it can be listed in AWS Marketplace.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether to certify the model package for listing on AWS Marketplace.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Whether the algorithm is certified to be listed in AWS Marketplace.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Whether the model package is certified for listing on AWS Marketplace.
- withChannelName(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- withClientId(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for an application client.
- withCode(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A unique identifier for a specific class of errors.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The Amazon Resource Name (ARN) of the Git repository.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the new repository.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the Git repository.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
The ARN of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The name of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
The name of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
The name of the Git repository to delete.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
The name of the Git repository to describe.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The name of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The name of the Git repository to update.
- withCodeRepositorySummaryList(CodeRepositorySummary...) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- withCodeRepositorySummaryList(Collection<CodeRepositorySummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- withCognitoMemberDefinition(CognitoMemberDefinition) - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
The Amazon Cognito user group that is part of the work team.
- withCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job completed.
- withCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job on a compilation job instance ended.
- withCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The Amazon Resource Name (ARN) of the model compilation job.
- withCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
If the action is successful, the service sends back an HTTP 200 response.
- withCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The name of the model compilation job that you want a summary for.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A name for the model compilation job.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
The name of the model compilation job that you want information about.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The name of the model compilation job.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
The name of the model compilation job to stop.
- withCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- withCompilationJobStatus(CompilationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- withCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- withCompilationJobStatus(CompilationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- withCompilationJobSummaries(CompilationJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- withCompilationJobSummaries(Collection<CompilationJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- withCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job started.
- withCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job started the CompilationJob instances.
- withCompilationTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after compilation has completed.
- withCompilationTargetDevice(TargetDevice) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after compilation has completed.
- withCompleted(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by the hyperparameter tuning job.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- withCompressionType(CompressionType) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- withCompressionType(CompressionType) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- withContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
This parameter is ignored for models that contain only a PrimaryContainer.
- withContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The DNS host name for the Docker container.
- withContainers(ContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- withContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- withContainers(ContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- withContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- withContainers(ModelPackageContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- withContainers(Collection<ModelPackageContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
The content of the Liquid template for the worker user interface.
- withContentClassifiers(String...) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- withContentClassifiers(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- withContentClassifiers(ContentClassifier...) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The MIME type of the data.
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The multipurpose internet mail extension (MIME) type of the data.
- withContinuousParameterRanges(ContinuousParameterRange...) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a
hyperparameter tuning job searches.
- withContinuousParameterRanges(Collection<ContinuousParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a
hyperparameter tuning job searches.
- withContinuousParameterRangeSpecification(ContinuousParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A ContinuousParameterRangeSpecification object that defines the possible values for a continuous
hyperparameter.
- withCreateDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was created (timestamp).
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A timestamp that shows when the algorithm was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A timestamp specifying when the algorithm was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the model compilation job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
A timestamp that shows when the endpoint configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job started.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A timestamp specifying when the model package was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A timestamp that shows when the model was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
A timestamp that shows when the transform Job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
A timestamp that shows when the endpoint configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The date and time that the labeling job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was created (timestamp).
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A timestamp that shows when the model package was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
A timestamp that indicates when the model was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
A timestamp that shows when the transform Job was created.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created after a specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations with a creation time greater than or equal to the specified
time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with a creation time greater than or equal to the specified time
(timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created after the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created before a specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created before the specified time.
- withCurrentInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances associated with the variant.
- withCurrentWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The weight associated with the variant.
- withDataAttributes(LabelingJobDataAttributes) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Attributes of the data specified by the customer.
- withDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- withDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The data structure used for combining the input data and inference in the output file.
- withDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- withDataSource(DataSource) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- withDataSource(LabelingJobDataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
The location of the input data.
- withDataSource(TransformDataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, which is, the S3 location of the input data that the model can
consume.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A Git repository to associate with the notebook instance as its default code repository.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Git repository associated with the notebook instance as its default code repository.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Git repository associated with the notebook instance as its default code repository.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Git repository to associate with the notebook instance as its default code repository.
- withDefaultCodeRepositoryContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name or URL of a Git repository associated with this notebook instance.
- withDefaultValue(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The default value for this hyperparameter.
- withDeployedImages(DeployedImage...) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- withDeployedImages(Collection<DeployedImage>) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
A brief description of the channel.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A description of the work team.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
A brief description of the hyperparameter.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
An updated description for the work team.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A description of the work team.
- withDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's capacity.
- withDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
- withDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's weight.
- withDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
- withDesiredWeightsAndCapacities(DesiredWeightAndCapacity...) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- withDesiredWeightsAndCapacities(Collection<DesiredWeightAndCapacity>) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- withDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether Amazon SageMaker provides internet access to the notebook instance.
- withDirectInternetAccess(DirectInternetAccess) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether Amazon SageMaker provides internet access to the notebook instance.
- withDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether Amazon SageMaker provides internet access to the notebook instance.
- withDirectInternetAccess(DirectInternetAccess) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether Amazon SageMaker provides internet access to the notebook instance.
- withDisassociateAcceleratorTypes(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to remove from this notebook instance.
- withDisassociateAdditionalCodeRepositories(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of names or URLs of the default Git repositories to remove from this notebook instance.
- withDisassociateDefaultCodeRepository(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name or URL of the default Git repository to remove from this notebook instance.
- withDisassociateLifecycleConfig(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Set to true to remove the notebook instance lifecycle configuration currently associated with the
notebook instance.
- withDollars(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The whole number of dollars in the amount.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Isolates the model container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Isolates the training container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
If True, no inbound or outbound network calls can be made to or from the model container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster
for distributed training, choose True.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Isolates the training container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the TrainingJob was created with network isolation, the value is set to true.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
The Amazon Resource Name (ARN) of the updated endpoint.
- withEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- withEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- withEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The name of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of an endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
The name of the endpoint configuration that you want to delete.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
The name of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Name of the Amazon SageMaker endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The name of the endpoint configuration associated with this endpoint.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The name of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the new endpoint configuration.
- withEndpointConfigs(EndpointConfigSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- withEndpointConfigs(Collection<EndpointConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
The name of the endpoint that you want to delete.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
The name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the endpoint whose configuration you want to update.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
The name of an existing Amazon SageMaker endpoint.
- withEndpoints(EndpointSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- withEndpoints(Collection<EndpointSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- withEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- withEndpointStatus(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- withEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- withEndpointStatus(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned out of this secondary status state into another
secondary status state or when the training job has ended.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The environment variables to set in the Docker container.
- withErrors(RenderingError...) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- withErrors(Collection<RenderingError>) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- withExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and
docker image for deployment on ML compute instances or for batch transform jobs.
- withExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- withFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning
process.
- withFailedNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects that could not be labeled due to an error.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
if the overall status is Failed, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
If a model compilation job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
If the status of the endpoint is Failed, the reason why it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the tuning job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
If the job failed, the reason that it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
If status is Failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If the training job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
If the transform job failed, FailureReason describes why it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The reason that the training job failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
If the LabelingJobStatus field is Failed, this field contains a description of the
error.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
if the overall status is Failed, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the training job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
If the transform job failed, the reason it failed.
- withFilters(Filter...) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- withFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- withFilters(Filter...) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- withFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- withFinalActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data
labeling.
- withFinalHyperParameterTuningJobObjectiveMetric(FinalHyperParameterTuningJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- withFinalMetricDataList(MetricData...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- withFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- withFinalMetricDataList(MetricData...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- withFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- withFramework(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- withFramework(Framework) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- withGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Configuration details for the Git repository, including the URL where it is located and the ARN of the AWS
Secrets Manager secret that contains the credentials used to access the repository.
- withGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Specifies details about the repository, including the URL where the repository is located, the default branch,
and credentials to use to access the repository.
- withGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Configuration details about the repository, including the URL where the repository is located, the default
branch, and the Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used
to access the repository.
- withGitConfig(GitConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the AWS Secrets
Manager secret that contains the credentials used to access the repository.
- withHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by a human worker.
- withHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects labeled by a human worker.
- withHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required for human workers to complete a labeling task.
- withHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information required for human workers to complete a labeling task.
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Algorithm-specific parameters that influence the quality of the model.
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Algorithm-specific parameters.
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Algorithm-specific parameters.
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The hyperparameters used for the training job.
- withHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job ended.
- withHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job ended.
- withHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- withHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- withHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The Amazon Resource Name (ARN) of the tuning job.
- withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the
objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the
tuning job.
- withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The name of the tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
The name of the tuning job to describe.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The name of the tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The name of the tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The name of the tuning job whose training jobs you want to list.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
The name of the tuning job to stop.
- withHyperParameterTuningJobObjective(HyperParameterTuningJobObjective) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
- withHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- withHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- withHyperParameterTuningJobSummaries(HyperParameterTuningJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- withHyperParameterTuningJobSummaries(Collection<HyperParameterTuningJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- withImage(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- withImage(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- withImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- withImageScanStatuses(AlgorithmStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- withImageScanStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- withImageScanStatuses(ModelPackageStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- withImageScanStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about inference jobs that the algorithm runs, including the following:
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies details about inference jobs that can be run with models based on this model package, including the
following:
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about inference jobs that the algorithm runs.
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about inference jobs that can be run with models based on this model package.
- withInitialActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon Resource Nam (ARN) of the final
model used for auto-labeling.
- withInitialInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Number of instances to launch initially.
- withInitialVariantWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
- withInProgress(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of in-progress training jobs launched by a hyperparameter tuning job.
- withInput(String) - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
A JSON object that contains values for the variables defined in the template.
- withInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the location of input model artifacts, the name and shape of the expected data inputs,
and the framework in which the model was trained.
- withInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the
manifest file that describes the data objects.
- withInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data
inputs, and the framework in which the model was trained.
- withInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the
location of the manifest file that describes the data objects.
- withInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Input configuration for the labeling job.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel objects that specify the input for the training jobs that the tuning job launches.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel objects that specify the input for the training jobs that the tuning job launches.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- withInputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A JSONPath expression used to select a portion of the input data to pass to the algorithm.
- withInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- withInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The number of ML compute instances to use.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The number of ML compute instances to use in the transform job.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- withInstanceType(ProductionVariantInstanceType) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- withInstanceType(TrainingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- withInstanceType(TransformInstanceType) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- withIntegerParameterRanges(IntegerParameterRange...) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a
hyperparameter tuning job searches.
- withIntegerParameterRanges(Collection<IntegerParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a
hyperparameter tuning job searches.
- withIntegerParameterRangeSpecification(IntegerParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A IntegerParameterRangeSpecification object that defines the possible values for an integer
hyperparameter.
- withIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Indicates whether the channel is required by the algorithm.
- withIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is required.
- withIsTunable(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
- withJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A unique identifier for work done as part of a labeling job.
- withJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
A unique identifier for a labeling job.
- withJobReferenceCodeContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter the limits jobs to only the ones whose job reference code contains the specified string.
- withJoinSource(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- withJoinSource(JoinSource) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- withKey(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag key.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on
the storage volume attached to the ML compute instance that hosts the endpoint.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on
the storage volume attached to your notebook instance.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the
instance.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the
instance.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The AWS Key Management Service ID of the key used to encrypt the output data, if any.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption.
- withLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The attribute name to use for the label in the output manifest file.
- withLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The attribute used as the label in the output manifest file.
- withLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The S3 URL of the file that defines the categories used to label the data objects.
- withLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The S3 location of the JSON file that defines the categories used to label data objects.
- withLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine,
the number of objects than couldn't be labeled, and the total number of objects labeled.
- withLabelCounters(LabelCountersForWorkteam) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Provides information about the progress of a labeling job.
- withLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Counts showing the progress of the labeling job.
- withLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required to perform automated data labeling.
- withLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information for automated data labeling.
- withLabelingJobAlgorithmSpecificationArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the labeling job.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The name of the labeling job.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
The name of the labeling job to return information for.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The name assigned to the labeling job when it was created.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The name of the labeling job that the work team is assigned to.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The name of the labeling job.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
The name of the labeling job to stop.
- withLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the output produced by the labeling job.
- withLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The location of the output produced by the labeling job.
- withLabelingJobResourceConfig(LabelingJobResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Provides configuration information for a labeling job.
- withLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- withLabelingJobStatus(LabelingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- withLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- withLabelingJobStatus(LabelingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- withLabelingJobSummaryList(LabelingJobForWorkteamSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLabelingJobSummaryList(Collection<LabelingJobForWorkteamSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLabelingJobSummaryList(LabelingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLabelingJobSummaryList(Collection<LabelingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was last changed.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the status of the model compilation job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the status of the tuning job was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the status of the training job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was last modified (timestamp).
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the status of the training job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Timestamp when the training job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job was last modified.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified after the specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified after a specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified after the specified timestamp.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified after the specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified after the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified before the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified before a specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified before the specified timestamp.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified before the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified before the specified time.
- withLastUpdatedDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was last updated (timestamp).
- withLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- withLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- withListingId(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
- withMachineLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by automated data labeling.
- withManifestS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
The Amazon S3 location of the manifest file that describes the input data objects.
- withMarketplaceDescription(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The description of the vendor from the Amazon Marketplace.
- withMarketplaceTitle(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The title of the service provided by the vendor in the Amazon Marketplace.
- withMaxConcurrentTaskCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Defines the maximum number of data objects that can be labeled by human workers at the same time.
- withMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- withMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum number of parallel requests on each instance node that can be launched in a transform job.
- withMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- withMaxHumanLabeledObjectCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of objects that can be labeled by human workers.
- withMaxNumberOfTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of training jobs that a hyperparameter tuning job can launch.
- withMaxParallelTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum allowed size of the payload, in MB.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size, in MB, used in the transform job.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum payload size allowed, in MB.
- withMaxPercentageOfInputDatasetLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of input data objects that should be labeled.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The maximum number of algorithms to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The maximum number of Git repositories to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The maximum number of model compilation jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The maximum number of training jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The maximum number of endpoints to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The maximum number of tuning jobs to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The maximum number of labeling jobs to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The maximum number of labeling jobs to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The maximum number of model packages to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The maximum number of models to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The maximum number of lifecycle configurations to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The maximum number of notebook instances to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Maximum number of tags to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The maximum number of training jobs to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The maximum number of training jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The maximum number of transform jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The maximum number of results to return in a SearchResponse.
- withMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that the training or compilation job can run.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The maximum value for the hyperparameter.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The maximum floating-point value allowed.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The maximum integer value allowed.
- withMemberDefinitions(MemberDefinition...) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the Amazon Cognito user pool
that makes up the work team.
- withMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the Amazon Cognito user pool
that makes up the work team.
- withMemberDefinitions(MemberDefinition...) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contain the updated work team members.
- withMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contain the updated work team members.
- withMemberDefinitions(MemberDefinition...) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Cognito user groups that make up the work team.
- withMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Cognito user groups that make up the work team.
- withMessage(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A human-readable message describing the error.
- withMetricDefinitions(MetricDefinition...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- withMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- withMetricDefinitions(MetricDefinition...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition objects that specify the metrics that the algorithm emits.
- withMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition objects that specify the metrics that the algorithm emits.
- withMetricDefinitions(MetricDefinition...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- withMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The name of the objective metric.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
The name of the metric to use for the objective metric.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The name of the metric.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The minimum value for the hyperparameter.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The minimum floating-point value allowed.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The minimum integer value allowed.
- withModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
The ARN of the model created in Amazon SageMaker.
- withModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the model.
- withModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The Amazon Resource Name (ARN) of the model.
- withModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the
compilation job.
- withModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- withModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- withModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The S3 path where the model artifacts, which result from model training, are stored.
- withModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- withModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The name of the new model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the model that you want to use for the transform job.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
The name of the model to delete.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Name of the Amazon SageMaker model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the model used in the transform job.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The name of the model that you want a summary for.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the model that you want to host.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
The Amazon Resource Name (ARN) of the new model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Resource Name (ARN) of the model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A description of the model package.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A brief summary of the model package.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A brief description of the model package.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name of the model package.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
The name of the model package.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
The name of the model package to describe.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The name of the model package being described.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The name of the model package.
- withModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- withModelPackageStatus(ModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- withModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- withModelPackageStatus(ModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- withModelPackageStatusDetails(ModelPackageStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the current status of the model package.
- withModelPackageSummaryList(ModelPackageSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- withModelPackageSummaryList(Collection<ModelPackageSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- withModels(ModelSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- withModels(Collection<ModelSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The name of the algorithm for which the overall status is being reported.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The name of the channel.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The name of the continuous hyperparameter to tune.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A property name.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The name of this hyperparameter.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The name of the hyperparameter to search.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The name of the model package for which the overall status is being reported.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A string in the algorithm name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A string in the Git repositories name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs whose name contains a specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A string in the endpoint configuration name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A string in endpoint names.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A string in the tuning job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A string in the labeling job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A string in the model package name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A string in the training job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A string in the lifecycle configuration name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the notebook instances' name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
A string in the work team name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A string in the training job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A string in the transform job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
A string in the work team's name.
- withNestedFilters(NestedFilters...) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- withNestedFilters(Collection<NestedFilters>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- withNestedPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
The name of the property to use in the nested filters.
- withNetworkInterfaceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The network interface IDs that Amazon SageMaker created at the time of creating the instance.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
If the response to a previous ListAlgorithms request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
If the response is truncated, Amazon SageMaker returns this NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
If the result of the previous ListEndpointConfig request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
If the result of a ListEndpoints request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
If the result of the previous ListHyperParameterTuningJobs request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
If the result of the previous ListLabelingJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
If the response to a previous ListModelPackages request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
If the response to a previous ListModels request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes
a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
If the previous call to the ListNotebookInstances is truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
If the response to the previous ListNotebookInstances request was truncated, Amazon SageMaker
returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
If the response to the previous ListTags request is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
If response is truncated, Amazon SageMaker includes a token in the response.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the
response includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
If the result of the previous ListTrainingJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
If the result of the previous ListTransformJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
If the result of the previous ListWorkteams request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
If more than MaxResults resource objects match the specified SearchExpression, the
SearchResponse includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
If the result of the previous Search request was truncated, the response includes a NextToken.
- withNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed and can't be retried.
- withNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- withNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- withNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Amazon Resource Name (ARN) of the notebook instance.
- withNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to delete.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to describe.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns the name of a notebook instance lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of a notebook instance lifecycle configuration associated with this notebook instance.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name of a notebook instances lifecycle configuration associated with this notebook instance.
- withNotebookInstanceLifecycleConfigs(NotebookInstanceLifecycleConfigSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- withNotebookInstanceLifecycleConfigs(Collection<NotebookInstanceLifecycleConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of the new notebook instance.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The name of the notebook instance.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
The name of the Amazon SageMaker notebook instance to delete.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
The name of the notebook instance that you want information about.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The name of the Amazon SageMaker notebook instance.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of the notebook instance that you want a summary for.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
The name of the notebook instance to start.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
The name of the notebook instance to terminate.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of the notebook instance to update.
- withNotebookInstances(NotebookInstanceSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- withNotebookInstances(Collection<NotebookInstanceSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- withNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- withNotebookInstanceStatus(NotebookInstanceStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- withNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- withNotebookInstanceStatus(NotebookInstanceStatus) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- withNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Configures notification of workers regarding available or expiring work items.
- withNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Configures SNS topic notifications for available or expiring work items
- withNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
- withNotificationTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
The ARN for the SNS topic to which notifications should be published.
- withNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The number of human workers that will label an object.
- withNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The configured number of workers per data object.
- withObjectiveStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- withObjectiveStatus(ObjectiveStatus) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- withObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status
of their final objective metric, that this tuning job launched.
- withObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective
metric status, that this tuning job launched.
- withOnCreate(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- withOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- withOnCreate(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- withOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- withOnCreate(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance
- withOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance
- withOnStart(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOperator(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- withOperator(Operator) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- withOperator(String) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- withOperator(BooleanOperator) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- withOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the output location for the compiled model and the target device the model runs on.
- withOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output
data, if any.
- withOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the output location for the compiled model and the target device that the model runs on.
- withOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the
output data, if any.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies the path to the S3 bucket where you want to store model artifacts.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The S3 path where model artifacts that you configured when creating the job are stored.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning
job launches.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The S3 path where model artifacts that you configured when creating the job are stored.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
the path to the S3 bucket where you want to store model artifacts.
- withOutputDatasetS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon S3 bucket location of the manifest file for labeled data.
- withOutputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch
transform job.
- withOverallBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM, this is the
TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job.
- withParameterRanges(ParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
- withParentHyperParameterTuningJobs(ParentHyperParameterTuningJob...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- withParentHyperParameterTuningJobs(Collection<ParentHyperParameterTuningJob>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- withPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs that are in progress and pending evaluation of their final objective metric.
- withPendingHuman(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects that need to be labeled by a human worker.
- withPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
- withPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of a Lambda function.
- withPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed for predictions.
- withPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
- withProductId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The product identifier of the algorithm.
- withProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The AWS Marketplace product ID of the model package.
- withProductionVariants(ProductionVariant...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An list of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An list of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(ProductionVariant...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(ProductionVariantSummary...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- withProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- withProductListingIds(String...) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- withProductListingIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- withProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The name of the profile for the algorithm.
- withProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The name of the profile for the model package.
- withPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.
- withPropertyNameHint(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Text that is part of a property's name.
- withPropertyNameQuery(PropertyNameQuery) - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
A type of SuggestionQuery.
- withPropertyNameSuggestions(PropertyNameSuggestion...) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- withPropertyNameSuggestions(Collection<PropertyNameSuggestion>) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- withPublicWorkforceTaskPrice(PublicWorkforceTaskPrice) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The price that you pay for each task performed by a public worker.
- withRange(ParameterRange) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The allowed range for this hyperparameter.
- withRecordWrapperType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- withRecordWrapperType(RecordWrapper) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- withRegex(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
A regular expression that searches the output of a training job and gets the value of the metric.
- withRenderedContent(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A Liquid template that renders the HTML for the worker UI.
- withRepositoryUrl(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The URL where the Git repository is located.
- withResolutionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The date and time when the image path for the model resolved to the ResolvedImage
- withResolvedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The specific digest path of the image hosted in this ProductionVariant.
- withResource(String) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the Amazon SageMaker resource to Search for.
- withResource(ResourceType) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the Amazon SageMaker resource to Search for.
- withResource(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the Amazon SageMaker resource to search for.
- withResource(ResourceType) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the Amazon SageMaker resource to search for.
- withResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
The Amazon Resource Name (ARN) of the resource that you want to tag.
- withResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
- withResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning
job launches.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- withResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs
for this tuning job.
- withResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs
allowed for this tuning job.
- withResults(SearchRecord...) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchResult objects.
- withResults(Collection<SearchRecord>) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchResult objects.
- withRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed, but can be retried.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to
perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the model compilation job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the IAM role associated with the instance.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The AWS Identity and Access Management (IAM) role configured for the training job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The AWS Identity and Access Management (IAM) role configured for the training job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access the notebook instance.
- withRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(RootAccess) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(RootAccess) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(RootAccess) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for
model training, specify FullyReplicated.
- withS3DataDistributionType(S3DataDistribution) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for
model training, specify FullyReplicated.
- withS3DataSource(S3DataSource) - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The S3 location of the data source that is associated with a channel.
- withS3DataSource(LabelingJobS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
The Amazon S3 location of the input data objects.
- withS3DataSource(TransformS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
The S3 location of the data source that is associated with a channel.
- withS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3DataType(S3DataType) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3DataType(S3DataType) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3ModelArtifacts(String) - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
The path of the S3 object that contains the model artifacts.
- withS3OutputLocation(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon S3 location to write output data.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
The S3 path where the model artifacts, which result from model training, are stored.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- withScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withScalingType(HyperParameterScalingType) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withScalingType(HyperParameterScalingType) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withSearchExpression(SearchExpression) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A Boolean conditional statement.
- withSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- withSecondaryStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- withSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- withSecondaryStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- withSecondaryStatusTransitions(SecondaryStatusTransition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecondaryStatusTransitions(SecondaryStatusTransition...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the
git repository.
- withSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the
git repository.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroups(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- withSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- withSeed(Long) - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Determines the shuffling order in ShuffleConfig value.
- withSellerName(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The name of the vendor in the Amazon Marketplace.
- withSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- withShuffleConfig(ShuffleConfig) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
A configuration for a shuffle option for input data in a channel.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- withSortBy(AlgorithmSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- withSortBy(CodeRepositorySortBy) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- withSortBy(ListCompilationJobsSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- withSortBy(EndpointConfigSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- withSortBy(EndpointSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- withSortBy(HyperParameterTuningJobSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- withSortBy(ListLabelingJobsForWorkteamSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- withSortBy(SortBy) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- withSortBy(ModelPackageSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- withSortBy(ModelSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- withSortBy(NotebookInstanceLifecycleConfigSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- withSortBy(NotebookInstanceSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- withSortBy(TrainingJobSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- withSortBy(SortBy) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- withSortBy(SortBy) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- withSortBy(ListWorkteamsSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the resource property used to sort the SearchResults.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- withSortOrder(CodeRepositorySortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- withSortOrder(OrderKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- withSortOrder(OrderKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- withSortOrder(OrderKey) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- withSortOrder(NotebookInstanceLifecycleConfigSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- withSortOrder(NotebookInstanceSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- withSortOrder(SearchSortOrder) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- withSourceAlgorithms(SourceAlgorithm...) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- withSourceAlgorithms(Collection<SourceAlgorithm>) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- withSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Details about the algorithm that was used to create the model package.
- withSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the algorithm that was used to create the model package.
- withSpecifiedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The image path you specified when you created the model.
- withSplitType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- withSplitType(SplitType) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned to the current secondary status state.
- withStaticHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the values of hyperparameters that do not change for the tuning job.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- withStatus(DetailedAlgorithmStatus) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- withStatus(DetailedModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- withStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
- withStatusEquals(CompilationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- withStatusEquals(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- withStatusEquals(HyperParameterTuningJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- withStatusEquals(LabelingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- withStatusEquals(NotebookInstanceStatus) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- withStatusEquals(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- withStatusEquals(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- withStatusEquals(TransformJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- withStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A detailed description of the progress within a secondary status.
- withStopped(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Specifies a limit to how long a model compilation job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies a limit to how long a model training job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Specifies a limit to how long a model compilation job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Specifies a limit to how long a model training job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies a limit to how long a model hyperparameter training job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Specifies a limit to how long a model training job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Specifies a limit to how long a model training job can run.
- withStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
A set of conditions for stopping the labeling job.
- withStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A set of conditions for stopping a labeling job.
- withStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- withStrategy(HyperParameterTuningJobStrategyType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- withStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
- withStrategy(HyperParameterTuningJobStrategyType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
- withSubDomain(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The URI of the labeling job's user interface.
- withSubExpressions(SearchExpression...) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- withSubExpressions(Collection<SearchExpression>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- withSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
- withSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The ID of the VPC subnet.
- withSubnets(String...) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- withSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- withSubscribedWorkteam(SubscribedWorkteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
A Workteam instance that contains information about the work team.
- withSubscribedWorkteams(SubscribedWorkteam...) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- withSubscribedWorkteams(Collection<SubscribedWorkteam>) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- withSucceeded(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used
in the hyperparameter tuning process.
- withSuccess(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns true if the work team was successfully deleted; otherwise, returns false.
- withSuggestionQuery(SuggestionQuery) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Limits the property names that are included in the response.
- withSupportedCompressionTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- withSupportedCompressionTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- withSupportedCompressionTypes(CompressionType...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- withSupportedContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- withSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- withSupportedContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- withSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- withSupportedHyperParameters(HyperParameterSpecification...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- withSupportedHyperParameters(Collection<HyperParameterSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- withSupportedInputModes(String...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- withSupportedInputModes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- withSupportedInputModes(TrainingInputMode...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- withSupportedRealtimeInferenceInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(ProductionVariantInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedResponseMIMETypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- withSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- withSupportedTrainingInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- withSupportedTrainingInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- withSupportedTrainingInstanceTypes(TrainingInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- withSupportedTransformInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTransformInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTransformInstanceTypes(TransformInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTuningJobObjectiveMetrics(HyperParameterTuningJobObjective...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- withSupportedTuningJobObjectiveMetrics(Collection<HyperParameterTuningJobObjective>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- withSupportsDistributedTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Indicates whether the algorithm supports distributed training.
- withTagKeys(String...) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- withTagKeys(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of Tag objects.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of Tag objects.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the Amazon SageMaker resource.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the Amazon SageMaker resource.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
A list of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
A list of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of tags to associate with the notebook instance.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of tags to associate with the notebook instance.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key/value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key/value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- withTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the device that you want to run your model on after it has been compiled.
- withTargetDevice(TargetDevice) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the device that you want to run your model on after it has been compiled.
- withTask(RenderableTask) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A RenderableTask object containing a representative task to render.
- withTaskAvailabilityLifetimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The length of time that a task remains available for labelling by human workers.
- withTaskDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A description of the task for your human workers.
- withTaskKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- withTaskKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- withTaskTimeLimitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The amount of time that a worker has to complete a task.
- withTaskTitle(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A title for the task for your human workers.
- withTenthFractionsOfACent(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
Fractions of a cent, in tenths.
- withTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The date and time that the algorithm emitted the metric.
- withTotal(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of tasks in the labeling job.
- withTotalLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled.
- withTrainingChannels(ChannelSpecification...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- withTrainingChannels(Collection<ChannelSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job ends on training instances.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Specifies the time when the training job ends on training instances.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job ends on training instances.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job ended.
- withTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- withTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- withTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
The Amazon ECR registry path of the Docker image that contains the training algorithm.
- withTrainingImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- withTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The input mode that the algorithm supports.
- withTrainingInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The input mode that the algorithm supports.
- withTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The input mode that the algorithm supports: File or Pipe.
- withTrainingInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The input mode that the algorithm supports: File or Pipe.
- withTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The input mode used by the algorithm for the training job.
- withTrainingInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The input mode used by the algorithm for the training job.
- withTrainingJob(TrainingJob) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
A TrainingJob object that is returned as part of a Search request.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobDefinition(TrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TrainingJobDefinition object that describes the training job that Amazon SageMaker runs to
validate your algorithm.
- withTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job
launches, including static hyperparameters, input data configuration, output data configuration, resource
configuration, and stopping condition.
- withTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withTrainingJobEarlyStoppingType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- withTrainingJobEarlyStoppingType(TrainingJobEarlyStoppingType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Name of the model training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
The name of the training job to stop.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The name of the training job that you want a summary for.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- withTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status,
that this tuning job launched.
- withTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status,
that this tuning job launched.
- withTrainingJobSummaries(HyperParameterTrainingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob request returned.
- withTrainingJobSummaries(Collection<HyperParameterTrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob request returned.
- withTrainingJobSummaries(TrainingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- withTrainingJobSummaries(Collection<TrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- withTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about training jobs run by this algorithm, including the following:
- withTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about training jobs run by this algorithm.
- withTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job starts on training instances.
- withTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job started.
- withTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job starts on training instances.
- withTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job has been completed, or has stopped or failed.
- withTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job ends on compute instances.
- withTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the input source and the way the transform job consumes it.
- withTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
- withTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A description of the input source and the way the transform job consumes it.
- withTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- withTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- withTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The Amazon Resource Name (ARN) of the transform job.
- withTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TransformJobDefinition object that describes the transform job that Amazon SageMaker runs to
validate your algorithm.
- withTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The TransformJobDefinition object that describes the transform job used for the validation of the
model package.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the transform job.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
The name of the transform job that you want to view details of.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the transform job.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
The name of the transform job to stop.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The name of the transform job.
- withTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- withTransformJobStatus(TransformJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- withTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- withTransformJobStatus(TransformJobStatus) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- withTransformJobSummaries(TransformJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- withTransformJobSummaries(Collection<TransformJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- withTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the results of the transform job.
- withTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- withTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- withTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- withTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- withTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the ML compute instances for the transform job.
- withTransformStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job starts on ML instances.
- withTunedHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
A list of the hyperparameters for which you specified ranges to search.
- withTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- withTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- withTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The HyperParameter tuning job that launched the training job.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Whether to minimize or maximize the objective metric.
- withType(HyperParameterTuningJobObjectiveType) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Whether to minimize or maximize the objective metric.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- withType(ParameterType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- withType(HyperParameterTuningJobObjectiveType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- withUiConfig(UiConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Information about the user interface that workers use to complete the labeling task.
- withUiTemplate(UiTemplate) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A Template object containing the worker UI template to render.
- withUiTemplateS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The Amazon S3 bucket location of the UI template.
- withUnlabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects not yet labeled.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The URL that you use to connect to the Jupyter instance running in your notebook instance.
- withUserGroup(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user group.
- withUserPool(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user pool.
- withValidationProfiles(AlgorithmValidationProfile...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that Amazon SageMaker runs to validate your algorithm.
- withValidationProfiles(Collection<AlgorithmValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that Amazon SageMaker runs to validate your algorithm.
- withValidationProfiles(ModelPackageValidationProfile...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that Amazon SageMaker runs to validate your model package.
- withValidationProfiles(Collection<ModelPackageValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that Amazon SageMaker runs to validate your model package.
- withValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
The IAM roles that Amazon SageMaker uses to run the training jobs.
- withValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
The IAM roles to be used for the validation of the model package.
- withValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's
training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the
algorithm's inference code.
- withValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
- withValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
- withValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
- withValidationStatuses(AlgorithmStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- withValidationStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- withValidationStatuses(ModelPackageStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- withValidationStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A value used with Resource and Operator to determine if objects satisfy the filter's
condition.
- withValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective metric.
- withValue(Float) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The value of the metric.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag value.
- withValues(String...) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- withValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- withValues(String...) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- withValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The name of the variant to update.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the production variant.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The name of the variant.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
The AWS Key Management Service key ID for the key used to encrypt the output data, if any.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume
attached to the ML compute instance(s) that run the training job.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume
attached to the ML compute instance(s) that run the batch transform job.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The size, in GB, of the ML storage volume attached to the notebook instance.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
A
VpcConfig object that
specifies the VPC that you want your model to connect to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
A
VpcConfig object that specifies the VPC that you want your training job to connect to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A
VpcConfig object that specifies the VPC that this model has access to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A
VpcConfig object that specifies the VPC that this training job has access to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The
VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter
tuning job launches to connect to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A
VpcConfig object that specifies the VPC that this training job has access to.
- withWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as
a starting point.
- withWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
- withWarmStartType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- withWarmStartType(HyperParameterTuningJobWarmStartType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- withWorkRequesterAccountId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
- withWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
A Workteam instance that contains information about the work team.
- withWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
A Workteam object that describes the updated work team.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
The Amazon Resource Name (ARN) of the work team.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
The Amazon Resource Name (ARN) of the subscribed work team to describe.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the work team assigned to the job.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The Amazon Resource Name (ARN) of the vendor that you have subscribed.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) that identifies the work team.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the work team.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
The name of the work team to delete.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
The name of the work team to return a description of.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
The name of the work team to update.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The name of the work team.
- withWorkteams(Workteam...) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- withWorkteams(Collection<Workteam>) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- Workteam - Class in com.amazonaws.services.sagemaker.model
-
Provides details about a labeling work team.
- Workteam() - Constructor for class com.amazonaws.services.sagemaker.model.Workteam
-