| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
AutoMLJobConfig |
AutoMLJobConfig.clone() |
AutoMLJobConfig |
DescribeAutoMLJobResult.getAutoMLJobConfig()
Returns the configuration for the AutoML job.
|
AutoMLJobConfig |
CreateAutoMLJobRequest.getAutoMLJobConfig()
A collection of settings used to configure an AutoML job.
|
AutoMLJobConfig |
AutoMLJobConfig.withCandidateGenerationConfig(AutoMLCandidateGenerationConfig candidateGenerationConfig)
The configuration for generating a candidate for an AutoML job (optional).
|
AutoMLJobConfig |
AutoMLJobConfig.withCompletionCriteria(AutoMLJobCompletionCriteria completionCriteria)
How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.
|
AutoMLJobConfig |
AutoMLJobConfig.withDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig)
The configuration for splitting the input training dataset.
|
AutoMLJobConfig |
AutoMLJobConfig.withMode(AutoMLMode mode)
The method that Autopilot uses to train the data.
|
AutoMLJobConfig |
AutoMLJobConfig.withMode(String mode)
The method that Autopilot uses to train the data.
|
AutoMLJobConfig |
AutoMLJobConfig.withSecurityConfig(AutoMLSecurityConfig securityConfig)
The security configuration for traffic encryption or Amazon VPC settings.
|
| Modifier and Type | Method and Description |
|---|---|
void |
DescribeAutoMLJobResult.setAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)
Returns the configuration for the AutoML job.
|
void |
CreateAutoMLJobRequest.setAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)
A collection of settings used to configure an AutoML job.
|
DescribeAutoMLJobResult |
DescribeAutoMLJobResult.withAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)
Returns the configuration for the AutoML job.
|
CreateAutoMLJobRequest |
CreateAutoMLJobRequest.withAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)
A collection of settings used to configure an AutoML job.
|
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