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AWS::SageMaker::HyperParameterTuningJob Autotune
A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
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ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
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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.
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TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
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RetryStrategy: The number of times to retry a training job.
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Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
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ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
Syntax
To declare this entity in your CloudFormation template, use the following syntax:
JSON
{ "Mode" :String}
YAML
Mode:String
Properties
Mode-
Set
ModetoEnabledif you want to use Autotune.Required: No
Type: String
Allowed values:
EnabledUpdate requires: Replacement
