public static interface HyperParameterTuningJobConfig.Builder extends SdkPojo, CopyableBuilder<HyperParameterTuningJobConfig.Builder,HyperParameterTuningJobConfig>
| Modifier and Type | Method and Description |
|---|---|
default HyperParameterTuningJobConfig.Builder |
hyperParameterTuningJobObjective(Consumer<HyperParameterTuningJobObjective.Builder> hyperParameterTuningJobObjective)
The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
|
HyperParameterTuningJobConfig.Builder |
hyperParameterTuningJobObjective(HyperParameterTuningJobObjective hyperParameterTuningJobObjective)
The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
|
default HyperParameterTuningJobConfig.Builder |
parameterRanges(Consumer<ParameterRanges.Builder> parameterRanges)
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
|
HyperParameterTuningJobConfig.Builder |
parameterRanges(ParameterRanges parameterRanges)
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
|
default HyperParameterTuningJobConfig.Builder |
resourceLimits(Consumer<ResourceLimits.Builder> resourceLimits)
The ResourceLimits object that specifies the maximum number of training jobs and parallel training
jobs for this tuning job.
|
HyperParameterTuningJobConfig.Builder |
resourceLimits(ResourceLimits resourceLimits)
The ResourceLimits object that specifies the maximum number of training jobs and parallel training
jobs for this tuning job.
|
HyperParameterTuningJobConfig.Builder |
strategy(HyperParameterTuningJobStrategyType strategy)
Specifies the search strategy for hyperparameters.
|
HyperParameterTuningJobConfig.Builder |
strategy(String strategy)
Specifies the search strategy for hyperparameters.
|
copyapplyMutation, buildHyperParameterTuningJobConfig.Builder strategy(String strategy)
Specifies the search strategy for hyperparameters. Currently, the only valid value is Bayesian.
strategy - Specifies the search strategy for hyperparameters. Currently, the only valid value is
Bayesian.HyperParameterTuningJobStrategyType,
HyperParameterTuningJobStrategyTypeHyperParameterTuningJobConfig.Builder strategy(HyperParameterTuningJobStrategyType strategy)
Specifies the search strategy for hyperparameters. Currently, the only valid value is Bayesian.
strategy - Specifies the search strategy for hyperparameters. Currently, the only valid value is
Bayesian.HyperParameterTuningJobStrategyType,
HyperParameterTuningJobStrategyTypeHyperParameterTuningJobConfig.Builder hyperParameterTuningJobObjective(HyperParameterTuningJobObjective hyperParameterTuningJobObjective)
The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
hyperParameterTuningJobObjective - The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning
job.default HyperParameterTuningJobConfig.Builder hyperParameterTuningJobObjective(Consumer<HyperParameterTuningJobObjective.Builder> hyperParameterTuningJobObjective)
The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
This is a convenience that creates an instance of theHyperParameterTuningJobObjective.Builder
avoiding the need to create one manually via HyperParameterTuningJobObjective.builder().
When the Consumer completes, SdkBuilder.build() is called
immediately and its result is passed to
hyperParameterTuningJobObjective(HyperParameterTuningJobObjective).hyperParameterTuningJobObjective - a consumer that will call methods on HyperParameterTuningJobObjective.BuilderhyperParameterTuningJobObjective(HyperParameterTuningJobObjective)HyperParameterTuningJobConfig.Builder resourceLimits(ResourceLimits resourceLimits)
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.
resourceLimits - The ResourceLimits object that specifies the maximum number of training jobs and parallel
training jobs for this tuning job.default HyperParameterTuningJobConfig.Builder resourceLimits(Consumer<ResourceLimits.Builder> resourceLimits)
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.
This is a convenience that creates an instance of theResourceLimits.Builder avoiding the need to
create one manually via ResourceLimits.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to resourceLimits(ResourceLimits).resourceLimits - a consumer that will call methods on ResourceLimits.BuilderresourceLimits(ResourceLimits)HyperParameterTuningJobConfig.Builder parameterRanges(ParameterRanges parameterRanges)
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
parameterRanges - The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job
searches.default HyperParameterTuningJobConfig.Builder parameterRanges(Consumer<ParameterRanges.Builder> parameterRanges)
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
This is a convenience that creates an instance of theParameterRanges.Builder avoiding the need to
create one manually via ParameterRanges.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to parameterRanges(ParameterRanges).parameterRanges - a consumer that will call methods on ParameterRanges.BuilderparameterRanges(ParameterRanges)Copyright © 2017 Amazon Web Services, Inc. All Rights Reserved.