Autotune - Amazon SageMaker
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Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Autotune

A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:

  • ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.

  • ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.

  • TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.

  • RetryStrategy: The number of times to retry a training job.

  • Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.

  • ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.

Contents

Mode

Set Mode to Enabled if you want to use Autotune.

Type: String

Valid Values: Enabled

Required: Yes

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: