Class: Aws::SageMaker::Types::Autotune
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::Autotune
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
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.
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[ConvergenceDetected]: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobConfig.html#sagemaker-Type-HyperParameterTuningJobConfig-ParameterRanges [2]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceLimits.html [3]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobConfig.html#sagemaker-Type-HyperParameterTuningJobConfig-TrainingJobEarlyStoppingType [4]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTrainingJobDefinition.html#sagemaker-Type-HyperParameterTrainingJobDefinition-RetryStrategy [5]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobConfig.html [6]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_ConvergenceDetected.html
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#mode ⇒ String
Set ‘Mode` to `Enabled` if you want to use Autotune.