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CmdID / aws / aws sagemaker

aws sagemaker create-hyper-parameter-tuning-job

Starts a hyperparameter tuning job. AWS CLI reference

7 options Its page in the AWS CLI reference

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Options

7 in the AWS CLI reference
--autotuneConfigures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following fields: ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
--hyper-parameter-tuning-job-configThe HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job.
--hyper-parameter-tuning-job-nameThe name of the tuning job.
--tagsAn array of key-value pairs.
--training-job-definitionThe HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
--training-job-definitionsA list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
--warm-start-configSpecifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point.