- getAccept() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- 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
-
- 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.
- 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
-
Determines the number of records included in a single mini-batch.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
SingleRecord means only one record was used per a batch.
- getBestTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- 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.
- getChannelName() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- getCompleted() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by a 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
-
Compressing data helps save on storage space.
- getContainerHostname() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The DNS host name for the container after Amazon SageMaker deploys it.
- 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.
- 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.
- 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.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.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.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.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created after 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.ListModelsRequest
-
A filter that returns only models created after 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.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.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.
- 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.TransformInput
-
Describes the location of the channel data, meaning the S3 location of the input data that the model can consume.
- 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.
- 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.
- 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.
- 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 secondary status has ended and the job has transitioned into another secondary
status.
- 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
-
- 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.
- 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.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, the reason that 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.TransformJobSummary
-
If the transform job failed, the reason it failed.
- getFinalHyperParameterTuningJobObjectiveMetric() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- 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.
- 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,
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.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.
- 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.
- 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.
- 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.
- 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
-
If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data at rest on the ML storage volume that
is 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
-
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.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 for Amazon S3 server-side encryption that Amazon SageMaker uses to
encrypt the transformed data.
- 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.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.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.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.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.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.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.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.
- 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.
- 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.
- 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 payload size allowed, in MB.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size , in MB used in the transform job.
- 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.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.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.
- getMaxRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that the training 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.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- getMetricDefinitions() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition objects that specify the metrics that the algorithm emits.
- 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.
- 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.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- 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.DescribeTrainingJobResult
-
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.
- 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.
- 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.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- 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.IntegerParameterRange
-
The name of the hyperparameter to search.
- getName() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- 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.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.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.
- getNetworkInterfaceId() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Network interface IDs that Amazon SageMaker created at the time of creating the instance.
- 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.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.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.
- 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
-
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.
- 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.
- 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.
- getParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
- 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.
- 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.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
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.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
-
- 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.
- 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.
- 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.
- 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.
- 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.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.DescribeNotebookInstanceResult
-
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.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access 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.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.
- 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.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.
- getSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides granular information about the system state.
- getSecondaryStatusTransitions() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To give an overview of the training job lifecycle, SecondaryStatusTransitions is a log of
time-ordered secondary statuses that a training job has transitioned.
- 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.
- getSessionExpirationDurationInSeconds() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- 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.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.
- 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.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.
- 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 into smaller batches.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job has entered this secondary status.
- 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.SecondaryStatusTransition
-
Provides granular information about the system state.
- 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.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
-
Shows a brief description and other information about the 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.CreateTrainingJobRequest
-
Sets a duration for training.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The condition under which to stop the training job.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Sets a maximum duration for the training jobs that the tuning job launches.
- getStrategy() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies the search strategy for hyperparameters.
- 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.
- 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.
- 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.
- 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
-
An array 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.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
-
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.
- 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
-
The date and time that the training job ended.
- 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.
- 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.
- 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.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- 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
-
- 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.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.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.
- 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.
- getTransformEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job is Completed, 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.
- 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.
- 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.
- 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.
- 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.
- 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.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- 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.
- 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.Tag
-
The tag value.
- getValues() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the 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.ResourceConfig
-
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(s) that run the training job.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
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(s) that run the batch transform job.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- 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.
- 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
-
- SecondaryStatus - Enum in com.amazonaws.services.sagemaker.model
-
- SecondaryStatusTransition - Class in com.amazonaws.services.sagemaker.model
-
Specifies a secondary status the job has transitioned into.
- SecondaryStatusTransition() - Constructor for class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
- setAccept(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- 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
-
- 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.
- 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
-
Determines the number of records included in a single mini-batch.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
SingleRecord means only one record was used per a batch.
- setBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- 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.
- setChannelName(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- setCompleted(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by a 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
-
Compressing data helps save on storage space.
- setContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The DNS host name for the container after Amazon SageMaker deploys it.
- 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.
- 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.
- 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.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.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.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.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created after 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.ListModelsRequest
-
A filter that returns only models created after 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.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.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.
- setDataSource(DataSource) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- setDataSource(TransformDataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, meaning the S3 location of the input data that the model can consume.
- 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.
- 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.
- 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.
- 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 secondary status has ended and the job has transitioned into another secondary
status.
- 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
-
- 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.
- 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.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, the reason that 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.TransformJobSummary
-
If the transform job failed, the reason it failed.
- setFinalHyperParameterTuningJobObjectiveMetric(FinalHyperParameterTuningJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- 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.
- 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,
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.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.
- 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.
- 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.
- 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.
- 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
-
If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data at rest on the ML storage volume that
is 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
-
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.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 for Amazon S3 server-side encryption that Amazon SageMaker uses to
encrypt the transformed data.
- 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.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.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.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.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.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.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.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.
- 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.
- 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.
- 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 payload size allowed, in MB.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size , in MB used in the transform job.
- 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.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.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.
- setMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that the training 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.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- 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.
- 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.
- 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.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- 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.DescribeTrainingJobResult
-
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.
- 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.
- 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.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- 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.IntegerParameterRange
-
The name of the hyperparameter to search.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- 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.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.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.
- setNetworkInterfaceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Network interface IDs that Amazon SageMaker created at the time of creating the instance.
- 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.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.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.
- 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
-
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- setProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array 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
-
- 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.
- 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.
- 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.
- 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.
- 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.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.DescribeNotebookInstanceResult
-
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.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access 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(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.
- 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.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.
- setSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides granular information about the system state.
- setSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To give an overview of the training job lifecycle, SecondaryStatusTransitions is a log of
time-ordered secondary statuses that a training job has transitioned.
- 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.
- setSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- 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.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.
- 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.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.
- 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 into smaller batches.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job has entered this secondary status.
- 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.SecondaryStatusTransition
-
Provides granular information about the system state.
- 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.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
-
Shows a brief description and other information about the 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.CreateTrainingJobRequest
-
Sets a duration for training.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The condition under which to stop the training job.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Sets a maximum duration for the training jobs that the tuning job launches.
- setStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies the search strategy for hyperparameters.
- 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.
- 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.
- 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.
- 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
-
An array 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.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
-
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.
- 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
-
The date and time that the training job ended.
- 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.
- 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.
- 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.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- 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
-
- 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.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.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.
- 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.
- setTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job is Completed, 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.
- 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.
- 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.
- 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.
- 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.
- 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.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- 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.
- setValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective 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.
- 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.ResourceConfig
-
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(s) that run the training job.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
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(s) that run the batch transform job.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- 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.
- 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
-
- 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
-
- 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
-
- 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 how long model training 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
-
- Tag - Class in com.amazonaws.services.sagemaker.model
-
Describes a tag.
- Tag() - Constructor for class com.amazonaws.services.sagemaker.model.Tag
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AssemblyType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.BatchStrategy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
Returns a string representation of this object; useful for testing and debugging.
- 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; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
Returns a string representation of this object; useful for testing and debugging.
- 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; useful for testing and debugging.
- 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; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Returns a string representation of this object; useful for testing and debugging.
- 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; useful for testing and debugging.
- 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; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
Returns a string representation of this object; useful for testing and debugging.
- 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; useful for testing and debugging.
- 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; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
Returns a string representation of this object; useful for testing and debugging.
- 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; useful for testing and debugging.
- 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; useful for testing and debugging.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.OrderKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Returns a string representation of this object; useful for testing and debugging.
- 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; useful for testing and debugging.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecordWrapper
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
Returns a string representation of this object; useful for testing and debugging.
- 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; useful for testing and debugging.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.S3DataType
-
- 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; useful for testing and debugging.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortOrder
-
- 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; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Tag
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingInputMode
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingInstanceType
-
- 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; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TransformInstanceType
-
- 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; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceResult
-
Returns a string representation of this object; useful for testing and debugging.
- toString() - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
Returns a string representation of this object; useful for testing and debugging.
- TrainingInputMode - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingInstanceType - Enum in com.amazonaws.services.sagemaker.model
-
- 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.
- 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
-
- 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
-
- TransformJobStatus - Enum in com.amazonaws.services.sagemaker.model
-
- TransformJobSummary - Class in com.amazonaws.services.sagemaker.model
-
Provides a summary information for 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 output.
- 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
-
- withAccept(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- 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
-
- 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.
- 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
-
Determines the number of records included in a single mini-batch.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Determines the number of records included in a single mini-batch.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
SingleRecord means only one record was used per a batch.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
SingleRecord means only one record was used per a batch.
- withBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- 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.
- withChannelName(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- withCompleted(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by a 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
-
Compressing data helps save on storage space.
- withCompressionType(CompressionType) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Compressing data helps save on storage space.
- withContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The DNS host name for the container after Amazon SageMaker deploys it.
- 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.
- 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.
- 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.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.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.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.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created after 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.ListModelsRequest
-
A filter that returns only models created after 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.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.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.
- withDataSource(DataSource) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- withDataSource(TransformDataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, meaning the S3 location of the input data that the model can consume.
- 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.
- 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.
- 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.
- 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 secondary status has ended and the job has transitioned into another secondary
status.
- 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
-
- 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.
- 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.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, the reason that 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.TransformJobSummary
-
If the transform job failed, the reason it failed.
- withFinalHyperParameterTuningJobObjectiveMetric(FinalHyperParameterTuningJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- 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.
- 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,
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.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.
- 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.
- 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.
- 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.
- 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
-
If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data at rest on the ML storage volume that
is 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
-
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.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 for Amazon S3 server-side encryption that Amazon SageMaker uses to
encrypt the transformed data.
- 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.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.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.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.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.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.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.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.
- 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.
- 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.
- 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 payload size allowed, in MB.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size , in MB used in the transform job.
- 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.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.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.
- withMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that the training 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.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- 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.
- 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.
- 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.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- 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.DescribeTrainingJobResult
-
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.
- 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.
- 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.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- 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.IntegerParameterRange
-
The name of the hyperparameter to search.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- 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.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.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.
- withNetworkInterfaceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Network interface IDs that Amazon SageMaker created at the time of creating the instance.
- 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.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.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.
- 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
-
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- withProductionVariants(ProductionVariant...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
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.CreateEndpointConfigRequest
-
An array 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
-
- 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.
- 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.
- 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.
- 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.
- 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.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.DescribeNotebookInstanceResult
-
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.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access 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(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.
- 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.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.
- withSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides granular information about the system state.
- withSecondaryStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides granular information about the system state.
- withSecondaryStatusTransitions(SecondaryStatusTransition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To give an overview of the training job lifecycle, SecondaryStatusTransitions is a log of
time-ordered secondary statuses that a training job has transitioned.
- withSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To give an overview of the training job lifecycle, SecondaryStatusTransitions is a log of
time-ordered secondary statuses that a training job has transitioned.
- 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.
- withSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- 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.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.
- 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.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.
- 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 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 into smaller batches.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job has entered this secondary status.
- 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.SecondaryStatusTransition
-
Provides granular information about the system state.
- withStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Provides granular information about the system state.
- 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.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
-
Shows a brief description and other information about the 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.CreateTrainingJobRequest
-
Sets a duration for training.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The condition under which to stop the training job.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Sets a maximum duration for the training jobs that the tuning job launches.
- withStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies the search strategy for hyperparameters.
- withStrategy(HyperParameterTuningJobStrategyType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies the search strategy for hyperparameters.
- 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.
- 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.
- 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.
- 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
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array 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.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
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
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.
- 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
-
The date and time that the training job ended.
- 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.
- 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.
- 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.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- 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
-
- 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.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.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.
- 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.
- withTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job is Completed, 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.
- 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.
- 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.
- 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.
- 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.
- 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.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.
- 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.
- withValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective 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.
- 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.ResourceConfig
-
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(s) that run the training job.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
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(s) that run the batch transform job.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- 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.