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paws.machine.learning

sagemaker_start_pipeline_execution

Starts a pipeline execution

Description

Starts a pipeline execution.

Usage

sagemaker_start_pipeline_execution(PipelineName,
  PipelineExecutionDisplayName, PipelineParameters,
  PipelineExecutionDescription, ClientRequestToken)

Arguments

PipelineName

[required] The name of the pipeline.
PipelineExecutionDisplayName

The display name of the pipeline execution.
PipelineParameters

Contains a list of pipeline parameters. This list can be empty.
PipelineExecutionDescription

The description of the pipeline execution.
ClientRequestToken

[required] A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.

Value

A list with the following syntax:

list(
  PipelineExecutionArn = "string"
)

Request syntax

svc$start_pipeline_execution(
  PipelineName = "string",
  PipelineExecutionDisplayName = "string",
  PipelineParameters = list(
    list(
      Name = "string",
      Value = "string"
    )
  ),
  PipelineExecutionDescription = "string",
  ClientRequestToken = "string"
)
paws.machine.learning

Amazon Web Services Machine Learning Services

v0.1.11
Apache License (>= 2.0)
Authors
David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Initial release

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