Uses of Interface
software.amazon.awssdk.services.sagemaker.model.HyperParameterTuningJobConfig.Builder

Packages that use HyperParameterTuningJobConfig.Builder

Package	Description
software.amazon.awssdk.services.sagemaker.model

Uses of HyperParameterTuningJobConfig.Builder in software.amazon.awssdk.services.sagemaker.model

Methods in software.amazon.awssdk.services.sagemaker.model that return HyperParameterTuningJobConfig.Builder

Modifier and Type	Method and Description
static HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.builder()
default HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.hyperParameterTuningJobObjective(Consumer<HyperParameterTuningJobObjective.Builder> hyperParameterTuningJobObjective) The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.
HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.hyperParameterTuningJobObjective(HyperParameterTuningJobObjective hyperParameterTuningJobObjective) The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.
default HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.parameterRanges(Consumer<ParameterRanges.Builder> 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.Builder	HyperParameterTuningJobConfig.Builder.parameterRanges(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.Builder	HyperParameterTuningJobConfig.Builder.randomSeed(Integer randomSeed) A value used to initialize a pseudo-random number generator.
default HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.resourceLimits(Consumer<ResourceLimits.Builder> 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.Builder	HyperParameterTuningJobConfig.Builder.resourceLimits(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.Builder	HyperParameterTuningJobConfig.Builder.strategy(HyperParameterTuningJobStrategyType strategy) Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches.
HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.strategy(String strategy) Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches.
default HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.strategyConfig(Consumer<HyperParameterTuningJobStrategyConfig.Builder> strategyConfig) The configuration for the Hyperband optimization strategy.
HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.strategyConfig(HyperParameterTuningJobStrategyConfig strategyConfig) The configuration for the Hyperband optimization strategy.
HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.toBuilder()
HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.trainingJobEarlyStoppingType(String trainingJobEarlyStoppingType) Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.trainingJobEarlyStoppingType(TrainingJobEarlyStoppingType trainingJobEarlyStoppingType) Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
default HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.tuningJobCompletionCriteria(Consumer<TuningJobCompletionCriteria.Builder> tuningJobCompletionCriteria) The tuning job's completion criteria.
HyperParameterTuningJobConfig.Builder	HyperParameterTuningJobConfig.Builder.tuningJobCompletionCriteria(TuningJobCompletionCriteria tuningJobCompletionCriteria) The tuning job's completion criteria.

Methods in software.amazon.awssdk.services.sagemaker.model that return types with arguments of type HyperParameterTuningJobConfig.Builder

Modifier and Type	Method and Description
static Class<? extends HyperParameterTuningJobConfig.Builder>	HyperParameterTuningJobConfig.serializableBuilderClass()

Method parameters in software.amazon.awssdk.services.sagemaker.model with type arguments of type HyperParameterTuningJobConfig.Builder

Modifier and Type	Method and Description
default HyperParameterTuningJobSearchEntity.Builder	HyperParameterTuningJobSearchEntity.Builder.hyperParameterTuningJobConfig(Consumer<HyperParameterTuningJobConfig.Builder> hyperParameterTuningJobConfig) Sets the value of the HyperParameterTuningJobConfig property for this object.
default DescribeHyperParameterTuningJobResponse.Builder	DescribeHyperParameterTuningJobResponse.Builder.hyperParameterTuningJobConfig(Consumer<HyperParameterTuningJobConfig.Builder> hyperParameterTuningJobConfig) The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
default CreateHyperParameterTuningJobRequest.Builder	CreateHyperParameterTuningJobRequest.Builder.hyperParameterTuningJobConfig(Consumer<HyperParameterTuningJobConfig.Builder> 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.