| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
HyperParameterTuningJobConfig |
HyperParameterTuningJobConfig.clone() |
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 |
DescribeHyperParameterTuningJobResult.getHyperParameterTuningJobConfig()
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
|
HyperParameterTuningJobConfig |
HyperParameterTuningJobConfig.withHyperParameterTuningJobObjective(HyperParameterTuningJobObjective hyperParameterTuningJobObjective)
The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
|
HyperParameterTuningJobConfig |
HyperParameterTuningJobConfig.withParameterRanges(ParameterRanges parameterRanges)
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
|
HyperParameterTuningJobConfig |
HyperParameterTuningJobConfig.withResourceLimits(ResourceLimits resourceLimits)
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs
for this 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.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.
|
| Modifier and Type | Method and Description |
|---|---|
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 |
DescribeHyperParameterTuningJobResult.setHyperParameterTuningJobConfig(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.
|
DescribeHyperParameterTuningJobResult |
DescribeHyperParameterTuningJobResult.withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig)
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
|
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