Uses of Class
com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig

Packages that use HyperParameterTuningJobConfig

Package	Description
com.amazonaws.services.sagemaker.model

Uses of HyperParameterTuningJobConfig in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return HyperParameterTuningJobConfig

Modifier and Type	Method and Description
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.clone()
HyperParameterTuningJobConfig	DescribeHyperParameterTuningJobResult.getHyperParameterTuningJobConfig() The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
HyperParameterTuningJobConfig	CreateHyperParameterTuningJobRequest.getHyperParameterTuningJobConfig() The 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.
HyperParameterTuningJobConfig	HyperParameterTuningJobSearchEntity.getHyperParameterTuningJobConfig()
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withHyperParameterTuningJobObjective(HyperParameterTuningJobObjective hyperParameterTuningJobObjective) The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withParameterRanges(ParameterRanges parameterRanges) The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal configuration for the highest model performance against your chosen objective metric.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withRandomSeed(Integer randomSeed) A value used to initialize a pseudo-random number generator.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withResourceLimits(ResourceLimits resourceLimits) The ResourceLimits object that specifies the maximum number of training and parallel training jobs that can be used for this hyperparameter tuning job.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withStrategy(HyperParameterTuningJobStrategyType strategy) Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withStrategy(String strategy) Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withStrategyConfig(HyperParameterTuningJobStrategyConfig strategyConfig) The configuration for the Hyperband optimization strategy.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withTrainingJobEarlyStoppingType(String trainingJobEarlyStoppingType) Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withTrainingJobEarlyStoppingType(TrainingJobEarlyStoppingType trainingJobEarlyStoppingType) Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
HyperParameterTuningJobConfig	HyperParameterTuningJobConfig.withTuningJobCompletionCriteria(TuningJobCompletionCriteria tuningJobCompletionCriteria) The tuning job's completion criteria.

Methods in com.amazonaws.services.sagemaker.model with parameters of type HyperParameterTuningJobConfig

Modifier and Type	Method and Description
void	DescribeHyperParameterTuningJobResult.setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig) The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
void	CreateHyperParameterTuningJobRequest.setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig) The 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.
void	HyperParameterTuningJobSearchEntity.setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig)
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig) The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
CreateHyperParameterTuningJobRequest	CreateHyperParameterTuningJobRequest.withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig) The 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.
HyperParameterTuningJobSearchEntity	HyperParameterTuningJobSearchEntity.withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig)