Class: Aws::SageMaker::Types::PipelineExecutionStepMetadata
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::PipelineExecutionStepMetadata
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Metadata for a step execution.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#athena ⇒ Types::AthenaStepMetadata
The metadata for the Athena step execution.
-
#auto_ml_job ⇒ Types::AutoMLJobStepMetadata
The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
-
#bedrock_custom_model ⇒ Types::BedrockCustomModelMetadata
The metadata of the Amazon Bedrock custom model used in the pipeline execution step.
-
#bedrock_custom_model_deployment ⇒ Types::BedrockCustomModelDeploymentMetadata
The metadata of the Amazon Bedrock custom model deployment used in pipeline execution step.
-
#bedrock_model_import ⇒ Types::BedrockModelImportMetadata
The metadata of Amazon Bedrock model import used in pipeline execution step.
-
#bedrock_provisioned_model_throughput ⇒ Types::BedrockProvisionedModelThroughputMetadata
The metadata of the Amazon Bedrock provisioned model throughput used in the pipeline execution step.
-
#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.
-
#clarify_check ⇒ Types::ClarifyCheckStepMetadata
Container for the metadata for a Clarify check step.
-
#cleanup ⇒ Types::CleanupStepMetadata
The metadata for the cleanup step execution.
-
#condition ⇒ Types::ConditionStepMetadata
The outcome of the condition evaluation that was run by this step execution.
-
#emr ⇒ Types::EMRStepMetadata
The configurations and outcomes of an Amazon EMR step execution.
-
#emr_serverless ⇒ Types::EMRServerlessStepMetadata
The configurations and outcomes of an Amazon EMR Serverless step execution.
-
#endpoint ⇒ Types::EndpointStepMetadata
The endpoint that was invoked during this step execution.
-
#endpoint_config ⇒ Types::EndpointConfigStepMetadata
The endpoint configuration used to create an endpoint during this step execution.
-
#fail ⇒ Types::FailStepMetadata
The configurations and outcomes of a Fail step execution.
-
#for_each ⇒ Types::ForEachStepMetadata
The metadata for the ForEach step execution.
-
#inference_component ⇒ Types::InferenceComponentMetadata
The metadata of the inference component used in pipeline execution step.
-
#job ⇒ Types::JobStepMetadata
The metadata for a SageMaker job used in a pipeline execution step.
-
#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.
-
#lineage ⇒ Types::LineageMetadata
The metadata of the lineage used in pipeline execution step.
-
#model ⇒ Types::ModelStepMetadata
The Amazon Resource Name (ARN) of the model that was created by this step execution.
-
#processing_job ⇒ Types::ProcessingJobStepMetadata
The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
-
#quality_check ⇒ Types::QualityCheckStepMetadata
The configurations and outcomes of the check step execution.
-
#register_model ⇒ Types::RegisterModelStepMetadata
The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.
-
#training_job ⇒ Types::TrainingJobStepMetadata
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
-
#transform_job ⇒ Types::TransformJobStepMetadata
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
-
#tuning_job ⇒ Types::TuningJobStepMetaData
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
Instance Attribute Details
#athena ⇒ Types::AthenaStepMetadata
The metadata for the Athena step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#auto_ml_job ⇒ Types::AutoMLJobStepMetadata
The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#bedrock_custom_model ⇒ Types::BedrockCustomModelMetadata
The metadata of the Amazon Bedrock custom model used in the pipeline execution step.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#bedrock_model_import ⇒ Types::BedrockModelImportMetadata
The metadata of Amazon Bedrock model import used in pipeline execution step.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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
BaselineUsedForDriftCheckis set the same asCalculatedBaseline.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#cleanup ⇒ Types::CleanupStepMetadata
The metadata for the cleanup step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#condition ⇒ Types::ConditionStepMetadata
The outcome of the condition evaluation that was run by this step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#emr ⇒ Types::EMRStepMetadata
The configurations and outcomes of an Amazon EMR step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#emr_serverless ⇒ Types::EMRServerlessStepMetadata
The configurations and outcomes of an Amazon EMR Serverless step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#endpoint ⇒ Types::EndpointStepMetadata
The endpoint that was invoked during this step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#endpoint_config ⇒ Types::EndpointConfigStepMetadata
The endpoint configuration used to create an endpoint during this step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#fail ⇒ Types::FailStepMetadata
The configurations and outcomes of a Fail step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#for_each ⇒ Types::ForEachStepMetadata
The metadata for the ForEach step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#inference_component ⇒ Types::InferenceComponentMetadata
The metadata of the inference component used in pipeline execution step.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#job ⇒ Types::JobStepMetadata
The metadata for a SageMaker job used in a pipeline execution step.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#lineage ⇒ Types::LineageMetadata
The metadata of the lineage used in pipeline execution step.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |
#model ⇒ Types::ModelStepMetadata
The Amazon Resource Name (ARN) of the model that was created by this step execution.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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
BaselineUsedForDriftCheckis set the same asCalculatedBaseline.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46799 class PipelineExecutionStepMetadata < Struct.new( :training_job, :processing_job, :transform_job, :tuning_job, :model, :register_model, :condition, :callback, :lambda, :emr, :emr_serverless, :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, :athena, :cleanup, :for_each) SENSITIVE = [] include Aws::Structure end |