| AddTagsRequest |
| AddTagsResult |
| AlgorithmSpecification
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| AmazonSageMakerException
Base exception for all service exceptions thrown by Amazon SageMaker Service
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| AssemblyType |
| BatchStrategy |
| CategoricalParameterRange
A list of categorical hyperparameters to tune.
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| Channel
A channel is a named input source that training algorithms can consume.
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| CompressionType |
| ContainerDefinition
Describes the container, as part of model definition.
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| ContinuousParameterRange
A list of continuous hyperparameters to tune.
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| CreateEndpointConfigRequest |
| CreateEndpointConfigResult |
| CreateEndpointRequest |
| CreateEndpointResult |
| CreateHyperParameterTuningJobRequest |
| CreateHyperParameterTuningJobResult |
| CreateModelRequest |
| CreateModelResult |
| CreateNotebookInstanceLifecycleConfigRequest |
| CreateNotebookInstanceLifecycleConfigResult |
| CreateNotebookInstanceRequest |
| CreateNotebookInstanceResult |
| CreatePresignedNotebookInstanceUrlRequest |
| CreatePresignedNotebookInstanceUrlResult |
| CreateTrainingJobRequest |
| CreateTrainingJobResult |
| CreateTransformJobRequest |
| CreateTransformJobResult |
| DataSource
Describes the location of the channel data.
|
| DeleteEndpointConfigRequest |
| DeleteEndpointConfigResult |
| DeleteEndpointRequest |
| DeleteEndpointResult |
| DeleteModelRequest |
| DeleteModelResult |
| DeleteNotebookInstanceLifecycleConfigRequest |
| DeleteNotebookInstanceLifecycleConfigResult |
| DeleteNotebookInstanceRequest |
| DeleteNotebookInstanceResult |
| DeleteTagsRequest |
| DeleteTagsResult |
DeployedImage
Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this
ProductionVariant. |
| DescribeEndpointConfigRequest |
| DescribeEndpointConfigResult |
| DescribeEndpointRequest |
| DescribeEndpointResult |
| DescribeHyperParameterTuningJobRequest |
| DescribeHyperParameterTuningJobResult |
| DescribeModelRequest |
| DescribeModelResult |
| DescribeNotebookInstanceLifecycleConfigRequest |
| DescribeNotebookInstanceLifecycleConfigResult |
| DescribeNotebookInstanceRequest |
| DescribeNotebookInstanceResult |
| DescribeTrainingJobRequest |
| DescribeTrainingJobResult |
| DescribeTransformJobRequest |
| DescribeTransformJobResult |
| DesiredWeightAndCapacity
Specifies weight and capacity values for a production variant.
|
| DirectInternetAccess |
| EndpointConfigSortKey |
| EndpointConfigSummary
Provides summary information for an endpoint configuration.
|
| EndpointSortKey |
| EndpointStatus |
| EndpointSummary
Provides summary information for an endpoint.
|
| FinalHyperParameterTuningJobObjectiveMetric
Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job.
|
| HyperParameterAlgorithmSpecification
Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics
to monitor.
|
| HyperParameterTrainingJobDefinition
Defines the training jobs launched by a hyperparameter tuning job.
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| HyperParameterTrainingJobSummary
Specifies summary information about a training job.
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| HyperParameterTuningJobConfig
Configures a hyperparameter tuning job.
|
| HyperParameterTuningJobObjective
Defines the objective metric for a hyperparameter tuning job.
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| HyperParameterTuningJobObjectiveType |
| HyperParameterTuningJobSortByOptions |
| HyperParameterTuningJobStatus |
| HyperParameterTuningJobStrategyType
The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model.
|
| HyperParameterTuningJobSummary
Provides summary information about a hyperparameter tuning job.
|
| InstanceType |
| IntegerParameterRange
For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
|
| ListEndpointConfigsRequest |
| ListEndpointConfigsResult |
| ListEndpointsRequest |
| ListEndpointsResult |
| ListHyperParameterTuningJobsRequest |
| ListHyperParameterTuningJobsResult |
| ListModelsRequest |
| ListModelsResult |
| ListNotebookInstanceLifecycleConfigsRequest |
| ListNotebookInstanceLifecycleConfigsResult |
| ListNotebookInstancesRequest |
| ListNotebookInstancesResult |
| ListTagsRequest |
| ListTagsResult |
| ListTrainingJobsForHyperParameterTuningJobRequest |
| ListTrainingJobsForHyperParameterTuningJobResult |
| ListTrainingJobsRequest |
| ListTrainingJobsResult |
| ListTransformJobsRequest |
| ListTransformJobsResult |
| MetricDefinition
Specifies a metric that the training algorithm writes to stderr or stdout.
|
| ModelArtifacts
Provides information about the location that is configured for storing model artifacts.
|
| ModelSortKey |
| ModelSummary
Provides summary information about a model.
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| NotebookInstanceLifecycleConfigSortKey |
| NotebookInstanceLifecycleConfigSortOrder |
| NotebookInstanceLifecycleConfigSummary
Provides a summary of a notebook instance lifecycle configuration.
|
| NotebookInstanceLifecycleHook
Contains the notebook instance lifecycle configuration script.
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| NotebookInstanceSortKey |
| NotebookInstanceSortOrder |
| NotebookInstanceStatus |
| NotebookInstanceSummary
Provides summary information for an Amazon SageMaker notebook instance.
|
| ObjectiveStatus |
| ObjectiveStatusCounters
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of
their objective metric.
|
| OrderKey |
| OutputDataConfig
Provides information about how to store model training results (model artifacts).
|
| ParameterRanges
Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches.
|
| ProductionVariant
Identifies a model that you want to host and the resources to deploy for hosting it.
|
| ProductionVariantInstanceType |
| ProductionVariantSummary
Describes weight and capacities for a production variant associated with an endpoint.
|
| RecordWrapper |
| ResourceConfig
Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
|
| ResourceLimits
Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
|
| S3DataDistribution |
| S3DataSource
Describes the S3 data source.
|
| S3DataType |
| SecondaryStatus |
| SecondaryStatusTransition
Specifies a secondary status the job has transitioned into.
|
| SortBy |
| SortOrder |
| SplitType |
| StartNotebookInstanceRequest |
| StartNotebookInstanceResult |
| StopHyperParameterTuningJobRequest |
| StopHyperParameterTuningJobResult |
| StopNotebookInstanceRequest |
| StopNotebookInstanceResult |
| StoppingCondition
Specifies how long model training can run.
|
| StopTrainingJobRequest |
| StopTrainingJobResult |
| StopTransformJobRequest |
| StopTransformJobResult |
| Tag
Describes a tag.
|
| TrainingInputMode |
| TrainingInstanceType |
| TrainingJobSortByOptions |
| TrainingJobStatus |
| TrainingJobStatusCounters
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
|
| TrainingJobSummary
Provides summary information about a training job.
|
| TransformDataSource
Describes the location of the channel data.
|
| TransformInput
Describes the input source of a transform job and the way the transform job consumes it.
|
| TransformInstanceType |
| TransformJobStatus |
| TransformJobSummary
Provides a summary information for a transform job.
|
| TransformOutput
Describes the results of a transform job output.
|
| TransformResources
Describes the resources, including ML instance types and ML instance count, to use for transform job.
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| TransformS3DataSource
Describes the S3 data source.
|
| UpdateEndpointRequest |
| UpdateEndpointResult |
| UpdateEndpointWeightsAndCapacitiesRequest |
| UpdateEndpointWeightsAndCapacitiesResult |
| UpdateNotebookInstanceLifecycleConfigRequest |
| UpdateNotebookInstanceLifecycleConfigResult |
| UpdateNotebookInstanceRequest |
| UpdateNotebookInstanceResult |
| VpcConfig
Specifies a VPC that your training jobs and hosted models have access to.
|