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 AWS SDKs, see the following:

• AWS SDK for C++

• AWS SDK for Java V2

• AWS SDK for Ruby V3