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sagemaker_create_pipeline

Creates a pipeline using a JSON pipeline definition


Description

Creates a pipeline using a JSON pipeline definition.

Usage

sagemaker_create_pipeline(PipelineName, PipelineDisplayName,
  PipelineDefinition, PipelineDescription, ClientRequestToken, RoleArn,
  Tags)

Arguments

PipelineName

[required] The name of the pipeline.

PipelineDisplayName

The display name of the pipeline.

PipelineDefinition

[required] The JSON pipeline definition of the pipeline.

PipelineDescription

A description of the pipeline.

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.

RoleArn

[required] The Amazon Resource Name (ARN) of the role used by the pipeline to access and create resources.

Tags

A list of tags to apply to the created pipeline.

Value

A list with the following syntax:

list(
  PipelineArn = "string"
)

Request syntax

svc$create_pipeline(
  PipelineName = "string",
  PipelineDisplayName = "string",
  PipelineDefinition = "string",
  PipelineDescription = "string",
  ClientRequestToken = "string",
  RoleArn = "string",
  Tags = list(
    list(
      Key = "string",
      Value = "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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