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R
paws.machine.learning

sagemaker_stop_hyper_parameter_tuning_job

Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched

Description

Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.

All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the Stopped state, it releases all reserved resources for the tuning job.

Usage

sagemaker_stop_hyper_parameter_tuning_job(HyperParameterTuningJobName)

Arguments

HyperParameterTuningJobName

[required] The name of the tuning job to stop.

Value

An empty list.

Request syntax

svc$stop_hyper_parameter_tuning_job(
  HyperParameterTuningJobName = "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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