| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
ResourceLimits |
ResourceLimits.clone() |
ResourceLimits |
HyperParameterTuningJobSummary.getResourceLimits()
The ResourceLimits
object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
|
ResourceLimits |
HyperParameterTuningJobConfig.getResourceLimits()
The ResourceLimits
object that specifies the maximum number of training and parallel training jobs that can be used for this
hyperparameter tuning job.
|
ResourceLimits |
ResourceLimits.withMaxNumberOfTrainingJobs(Integer maxNumberOfTrainingJobs)
The maximum number of training jobs that a hyperparameter tuning job can launch.
|
ResourceLimits |
ResourceLimits.withMaxParallelTrainingJobs(Integer maxParallelTrainingJobs)
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
|
ResourceLimits |
ResourceLimits.withMaxRuntimeInSeconds(Integer maxRuntimeInSeconds)
The maximum time in seconds that a hyperparameter tuning job can run.
|
| Modifier and Type | Method and Description |
|---|---|
void |
HyperParameterTuningJobSummary.setResourceLimits(ResourceLimits resourceLimits)
The ResourceLimits
object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
|
void |
HyperParameterTuningJobConfig.setResourceLimits(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.
|
HyperParameterTuningJobSummary |
HyperParameterTuningJobSummary.withResourceLimits(ResourceLimits resourceLimits)
The ResourceLimits
object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
|
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.
|
Copyright © 2023. All rights reserved.