sagemaker_send_pipeline_execution_step_success: Notifies the pipeline that the execution of a callback step...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters

Description

Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).

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

Usage

sagemaker_send_pipeline_execution_step_success(
  CallbackToken,
  OutputParameters = NULL,
  ClientRequestToken = NULL
)

Arguments

CallbackToken	[required] The pipeline generated token from the Amazon SQS queue.
OutputParameters	A list of the output parameters of the callback step.
ClientRequestToken	A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.