sagemaker_create_pipeline: Creates a pipeline using a JSON pipeline definition
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_pipeline

R Documentation

Creates a pipeline using a JSON pipeline definition

Description

Creates a pipeline using a JSON pipeline definition.

See https://www.paws-r-sdk.com/docs/sagemaker_create_pipeline/ for full documentation.

Usage

sagemaker_create_pipeline(
  PipelineName,
  PipelineDisplayName = NULL,
  PipelineDefinition = NULL,
  PipelineDefinitionS3Location = NULL,
  PipelineDescription = NULL,
  ClientRequestToken,
  RoleArn,
  Tags = NULL,
  ParallelismConfiguration = NULL
)

Arguments

`PipelineName`	[required] The name of the pipeline.
`PipelineDisplayName`	The display name of the pipeline.
`PipelineDefinition`	The JSON pipeline definition of the pipeline.
`PipelineDefinitionS3Location`	The location of the pipeline definition stored in Amazon S3. If specified, SageMaker will retrieve the pipeline definition from this location.
`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.
`ParallelismConfiguration`	This is the configuration that controls the parallelism of the pipeline. If specified, it applies to all runs of this pipeline by default.