Class: Aws::SageMaker::Types::PipelineExecutionStepMetadata

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

Metadata for a step execution.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#auto_ml_job ⇒ Types::AutoMLJobStepMetadata

The Amazon Resource Name (ARN) of the AutoML job that was run by this step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#bedrock_custom_model ⇒ Types::BedrockCustomModelMetadata

The metadata of the Amazon Bedrock custom model used in the pipeline execution step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#bedrock_custom_model_deployment ⇒ Types::BedrockCustomModelDeploymentMetadata

The metadata of the Amazon Bedrock custom model deployment used in pipeline execution step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#bedrock_model_import ⇒ Types::BedrockModelImportMetadata

The metadata of Amazon Bedrock model import used in pipeline execution step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#bedrock_provisioned_model_throughput ⇒ Types::BedrockProvisionedModelThroughputMetadata

The metadata of the Amazon Bedrock provisioned model throughput used in the pipeline execution step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#callback ⇒ Types::CallbackStepMetadata

The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#clarify_check ⇒ Types::ClarifyCheckStepMetadata

Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:

  • The type of the check conducted,

  • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.

  • The Amazon S3 URIs of newly calculated baseline constraints and statistics.

  • The model package group name provided.

  • The Amazon S3 URI of the violation report if violations detected.

  • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.

  • The boolean flags indicating if the drift check is skipped.

  • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#condition ⇒ Types::ConditionStepMetadata

The outcome of the condition evaluation that was run by this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#emr ⇒ Types::EMRStepMetadata

The configurations and outcomes of an Amazon EMR step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#endpoint ⇒ Types::EndpointStepMetadata

The endpoint that was invoked during this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#endpoint_config ⇒ Types::EndpointConfigStepMetadata

The endpoint configuration used to create an endpoint during this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#fail ⇒ Types::FailStepMetadata

The configurations and outcomes of a Fail step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#inference_component ⇒ Types::InferenceComponentMetadata

The metadata of the inference component used in pipeline execution step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#job ⇒ Types::JobStepMetadata

The metadata for a SageMaker job used in a pipeline execution step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#lambda ⇒ Types::LambdaStepMetadata

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#lineage ⇒ Types::LineageMetadata

The metadata of the lineage used in pipeline execution step.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#model ⇒ Types::ModelStepMetadata

The Amazon Resource Name (ARN) of the model that was created by this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#processing_job ⇒ Types::ProcessingJobStepMetadata

The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#quality_check ⇒ Types::QualityCheckStepMetadata

The configurations and outcomes of the check step execution. This includes:

  • The type of the check conducted.

  • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.

  • The Amazon S3 URIs of newly calculated baseline constraints and statistics.

  • The model package group name provided.

  • The Amazon S3 URI of the violation report if violations detected.

  • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.

  • The Boolean flags indicating if the drift check is skipped.

  • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#register_model ⇒ Types::RegisterModelStepMetadata

The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#training_job ⇒ Types::TrainingJobStepMetadata

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#transform_job ⇒ Types::TransformJobStepMetadata

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end

#tuning_job ⇒ Types::TuningJobStepMetaData

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 46240

class PipelineExecutionStepMetadata < Struct.new(
  :training_job,
  :processing_job,
  :transform_job,
  :tuning_job,
  :model,
  :register_model,
  :condition,
  :callback,
  :lambda,
  :emr,
  :quality_check,
  :clarify_check,
  :fail,
  :auto_ml_job,
  :endpoint,
  :endpoint_config,
  :bedrock_custom_model,
  :bedrock_custom_model_deployment,
  :bedrock_provisioned_model_throughput,
  :bedrock_model_import,
  :inference_component,
  :lineage,
  :job)
  SENSITIVE = []
  include Aws::Structure
end