All Superinterfaces:

AwsRequest.Builder, Buildable, CopyableBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>, SageMakerRequest.Builder, SdkBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>, SdkPojo, SdkRequest.Builder

Enclosing class:

CreateAutoMlJobRequest
```
public static interface CreateAutoMlJobRequest.Builder
extends SageMakerRequest.Builder, SdkPojo, CopyableBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>
```

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default CreateAutoMlJobRequest.Builder`	`autoMLJobConfig(Consumer<AutoMLJobConfig.Builder> autoMLJobConfig)`	A collection of settings used to configure an AutoML job.
`CreateAutoMlJobRequest.Builder`	`autoMLJobConfig(AutoMLJobConfig autoMLJobConfig)`	A collection of settings used to configure an AutoML job.
`CreateAutoMlJobRequest.Builder`	`autoMLJobName(String autoMLJobName)`	Identifies an Autopilot job.
`default CreateAutoMlJobRequest.Builder`	`autoMLJobObjective(Consumer<AutoMLJobObjective.Builder> autoMLJobObjective)`	Specifies a metric to minimize or maximize as the objective of a job.
`CreateAutoMlJobRequest.Builder`	`autoMLJobObjective(AutoMLJobObjective autoMLJobObjective)`	Specifies a metric to minimize or maximize as the objective of a job.
`CreateAutoMlJobRequest.Builder`	`generateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly)`	Generates possible candidates without training the models.
`CreateAutoMlJobRequest.Builder`	`inputDataConfig(Collection<AutoMLChannel> inputDataConfig)`	An array of channel objects that describes the input data and its location.
`CreateAutoMlJobRequest.Builder`	`inputDataConfig(Consumer<AutoMLChannel.Builder>... inputDataConfig)`	An array of channel objects that describes the input data and its location.
`CreateAutoMlJobRequest.Builder`	`inputDataConfig(AutoMLChannel... inputDataConfig)`	An array of channel objects that describes the input data and its location.
`default CreateAutoMlJobRequest.Builder`	`modelDeployConfig(Consumer<ModelDeployConfig.Builder> modelDeployConfig)`	Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
`CreateAutoMlJobRequest.Builder`	`modelDeployConfig(ModelDeployConfig modelDeployConfig)`	Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
`default CreateAutoMlJobRequest.Builder`	`outputDataConfig(Consumer<AutoMLOutputDataConfig.Builder> outputDataConfig)`	Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
`CreateAutoMlJobRequest.Builder`	`outputDataConfig(AutoMLOutputDataConfig outputDataConfig)`	Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
`CreateAutoMlJobRequest.Builder`	`overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)`
`CreateAutoMlJobRequest.Builder`	`overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)`
`CreateAutoMlJobRequest.Builder`	`problemType(String problemType)`	Defines the type of supervised learning problem available for the candidates.
`CreateAutoMlJobRequest.Builder`	`problemType(ProblemType problemType)`	Defines the type of supervised learning problem available for the candidates.
`CreateAutoMlJobRequest.Builder`	`roleArn(String roleArn)`	The ARN of the role that is used to access the data.
`CreateAutoMlJobRequest.Builder`	`tags(Collection<Tag> tags)`	An array of key-value pairs.
`CreateAutoMlJobRequest.Builder`	`tags(Consumer<Tag.Builder>... tags)`	An array of key-value pairs.
`CreateAutoMlJobRequest.Builder`	`tags(Tag... tags)`	An array of key-value pairs.

Methods inherited from interface software.amazon.awssdk.awscore.AwsRequest.Builder
overrideConfiguration

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy

Methods inherited from interface software.amazon.awssdk.services.sagemaker.model.SageMakerRequest.Builder
build

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFieldNameToField, sdkFields

- Method Detail
  - autoMLJobName
```
CreateAutoMlJobRequest.Builder autoMLJobName(String autoMLJobName)
```
    Identifies an Autopilot job. The name must be unique to your account and is case insensitive.
    
    Parameters:
    
    autoMLJobName - Identifies an Autopilot job. The name must be unique to your account and is case insensitive.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - inputDataConfig
```
CreateAutoMlJobRequest.Builder inputDataConfig(Collection<AutoMLChannel> inputDataConfig)
```
    An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by HyperParameterTrainingJobDefinition. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.
    
    Parameters:
    
    inputDataConfig - An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by HyperParameterTrainingJobDefinition. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - inputDataConfig
```
CreateAutoMlJobRequest.Builder inputDataConfig(AutoMLChannel... inputDataConfig)
```
    An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by HyperParameterTrainingJobDefinition. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.
    
    Parameters:
    
    inputDataConfig - An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by HyperParameterTrainingJobDefinition. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - inputDataConfig
```
CreateAutoMlJobRequest.Builder inputDataConfig(Consumer<AutoMLChannel.Builder>... inputDataConfig)
```
    An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by HyperParameterTrainingJobDefinition. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.
    This is a convenience method that creates an instance of the AutoMLChannel.Builder avoiding the need to create one manually via AutoMLChannel.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to #inputDataConfig(List).
    
    Parameters:
    
    inputDataConfig - a consumer that will call methods on AutoMLChannel.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    #inputDataConfig(java.util.Collection)
  - outputDataConfig
```
CreateAutoMlJobRequest.Builder outputDataConfig(AutoMLOutputDataConfig outputDataConfig)
```
    Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
    
    Parameters:
    
    outputDataConfig - Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - outputDataConfig
```
default CreateAutoMlJobRequest.Builder outputDataConfig(Consumer<AutoMLOutputDataConfig.Builder> outputDataConfig)
```
    Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
    This is a convenience method that creates an instance of the AutoMLOutputDataConfig.Builder avoiding the need to create one manually via AutoMLOutputDataConfig.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to outputDataConfig(AutoMLOutputDataConfig).
    
    Parameters:
    
    outputDataConfig - a consumer that will call methods on AutoMLOutputDataConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    outputDataConfig(AutoMLOutputDataConfig)
  - problemType
```
CreateAutoMlJobRequest.Builder problemType(String problemType)
```
    Defines the type of supervised learning problem available for the candidates. For more information, see SageMaker Autopilot problem types.
    
    Parameters:
    
    problemType - Defines the type of supervised learning problem available for the candidates. For more information, see SageMaker Autopilot problem types.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProblemType, ProblemType
  - problemType
```
CreateAutoMlJobRequest.Builder problemType(ProblemType problemType)
```
    Defines the type of supervised learning problem available for the candidates. For more information, see SageMaker Autopilot problem types.
    
    Parameters:
    
    problemType - Defines the type of supervised learning problem available for the candidates. For more information, see SageMaker Autopilot problem types.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProblemType, ProblemType
  - autoMLJobObjective
```
CreateAutoMlJobRequest.Builder autoMLJobObjective(AutoMLJobObjective autoMLJobObjective)
```
    Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. See AutoMLJobObjective for the default values.
    
    Parameters:
    
    autoMLJobObjective - Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. See AutoMLJobObjective for the default values.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - autoMLJobObjective
```
default CreateAutoMlJobRequest.Builder autoMLJobObjective(Consumer<AutoMLJobObjective.Builder> autoMLJobObjective)
```
    Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. See AutoMLJobObjective for the default values.
    This is a convenience method that creates an instance of the AutoMLJobObjective.Builder avoiding the need to create one manually via AutoMLJobObjective.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to autoMLJobObjective(AutoMLJobObjective).
    
    Parameters:
    
    autoMLJobObjective - a consumer that will call methods on AutoMLJobObjective.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    autoMLJobObjective(AutoMLJobObjective)
  - autoMLJobConfig
```
CreateAutoMlJobRequest.Builder autoMLJobConfig(AutoMLJobConfig autoMLJobConfig)
```
    A collection of settings used to configure an AutoML job.
    
    Parameters:
    
    autoMLJobConfig - A collection of settings used to configure an AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - autoMLJobConfig
```
default CreateAutoMlJobRequest.Builder autoMLJobConfig(Consumer<AutoMLJobConfig.Builder> autoMLJobConfig)
```
    A collection of settings used to configure an AutoML job.
    This is a convenience method that creates an instance of the AutoMLJobConfig.Builder avoiding the need to create one manually via AutoMLJobConfig.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to autoMLJobConfig(AutoMLJobConfig).
    
    Parameters:
    
    autoMLJobConfig - a consumer that will call methods on AutoMLJobConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    autoMLJobConfig(AutoMLJobConfig)
  - roleArn
```
CreateAutoMlJobRequest.Builder roleArn(String roleArn)
```
    The ARN of the role that is used to access the data.
    
    Parameters:
    
    roleArn - The ARN of the role that is used to access the data.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - generateCandidateDefinitionsOnly
```
CreateAutoMlJobRequest.Builder generateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly)
```
    Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
    
    Parameters:
    
    generateCandidateDefinitionsOnly - Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - tags
```
CreateAutoMlJobRequest.Builder tags(Collection<Tag> tags)
```
    An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
    
    Parameters:
    
    tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - tags
```
CreateAutoMlJobRequest.Builder tags(Tag... tags)
```
    An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
    
    Parameters:
    
    tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - tags
```
CreateAutoMlJobRequest.Builder tags(Consumer<Tag.Builder>... tags)
```
    An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
    This is a convenience method that creates an instance of the Tag.Builder avoiding the need to create one manually via Tag.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to #tags(List).
    
    Parameters:
    
    tags - a consumer that will call methods on Tag.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    #tags(java.util.Collection)
  - modelDeployConfig
```
CreateAutoMlJobRequest.Builder modelDeployConfig(ModelDeployConfig modelDeployConfig)
```
    Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
    
    Parameters:
    
    modelDeployConfig - Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - modelDeployConfig
```
default CreateAutoMlJobRequest.Builder modelDeployConfig(Consumer<ModelDeployConfig.Builder> modelDeployConfig)
```
    Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
    This is a convenience method that creates an instance of the ModelDeployConfig.Builder avoiding the need to create one manually via ModelDeployConfig.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to modelDeployConfig(ModelDeployConfig).
    
    Parameters:
    
    modelDeployConfig - a consumer that will call methods on ModelDeployConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    modelDeployConfig(ModelDeployConfig)
  - overrideConfiguration
```
CreateAutoMlJobRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
```
    Specified by:
    
    overrideConfiguration in interface AwsRequest.Builder
  - overrideConfiguration
```
CreateAutoMlJobRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
```
    Specified by:
    
    overrideConfiguration in interface AwsRequest.Builder

Interface CreateAutoMlJobRequest.Builder

Method Summary

Methods inherited from interface software.amazon.awssdk.awscore.AwsRequest.Builder

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

Methods inherited from interface software.amazon.awssdk.services.sagemaker.model.SageMakerRequest.Builder

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

Method Detail

autoMLJobName

inputDataConfig

inputDataConfig

inputDataConfig

outputDataConfig

outputDataConfig

problemType

problemType

autoMLJobObjective

autoMLJobObjective

autoMLJobConfig

autoMLJobConfig

roleArn

generateCandidateDefinitionsOnly

tags

tags

tags

modelDeployConfig

modelDeployConfig

overrideConfiguration

overrideConfiguration