software.amazon.awssdk.services.sagemaker.model

Interface CreateAutoMlJobRequest.Builder

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

Modifier and Type	Method and Description
CreateAutoMlJobRequest.Builder	autoMLJobConfig(AutoMLJobConfig autoMLJobConfig) Contains CompletionCriteria and SecurityConfig.
default CreateAutoMlJobRequest.Builder	autoMLJobConfig(Consumer<AutoMLJobConfig.Builder> autoMLJobConfig) Contains CompletionCriteria and SecurityConfig.
CreateAutoMlJobRequest.Builder	autoMLJobName(String autoMLJobName) Identifies an AutoPilot job.
CreateAutoMlJobRequest.Builder	autoMLJobObjective(AutoMLJobObjective autoMLJobObjective) Defines the job's objective.
default CreateAutoMlJobRequest.Builder	autoMLJobObjective(Consumer<AutoMLJobObjective.Builder> autoMLJobObjective) Defines the job's objective.
CreateAutoMlJobRequest.Builder	generateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly) This will generate possible candidates without training a model.
CreateAutoMlJobRequest.Builder	inputDataConfig(AutoMLChannel... inputDataConfig) Similar to InputDataConfig supported by Tuning.
CreateAutoMlJobRequest.Builder	inputDataConfig(Collection<AutoMLChannel> inputDataConfig) Similar to InputDataConfig supported by Tuning.
CreateAutoMlJobRequest.Builder	inputDataConfig(Consumer<AutoMLChannel.Builder>... inputDataConfig) Similar to InputDataConfig supported by Tuning.
CreateAutoMlJobRequest.Builder	outputDataConfig(AutoMLOutputDataConfig outputDataConfig) Similar to OutputDataConfig supported by Tuning.
default CreateAutoMlJobRequest.Builder	outputDataConfig(Consumer<AutoMLOutputDataConfig.Builder> outputDataConfig) Similar to OutputDataConfig supported by Tuning.
CreateAutoMlJobRequest.Builder	overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
CreateAutoMlJobRequest.Builder	overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
CreateAutoMlJobRequest.Builder	problemType(ProblemType problemType) Defines the kind of preprocessing and algorithms intended for the candidates.
CreateAutoMlJobRequest.Builder	problemType(String problemType) Defines the kind of preprocessing and algorithms intended for the candidates.
CreateAutoMlJobRequest.Builder	roleArn(String roleArn) The ARN of the role that will be used to access the data.
CreateAutoMlJobRequest.Builder	tags(Collection<Tag> tags) Each tag consists of a key and an optional value.
CreateAutoMlJobRequest.Builder	tags(Consumer<Tag.Builder>... tags) Each tag consists of a key and an optional value.
CreateAutoMlJobRequest.Builder	tags(Tag... tags) Each tag consists of a key and an optional value.

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

build

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

overrideConfiguration

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

equalsBySdkFields, sdkFields

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

copy

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

applyMutation, build

Method Detail

autoMLJobName

CreateAutoMlJobRequest.Builder autoMLJobName(String autoMLJobName)

Identifies an AutoPilot job. Must be unique to your account and is case-insensitive.

Parameters:

autoMLJobName - Identifies an AutoPilot job. 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)

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.

Parameters:

inputDataConfig - Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.

Returns:

Returns a reference to this object so that method calls can be chained together.

inputDataConfig

CreateAutoMlJobRequest.Builder inputDataConfig(AutoMLChannel... inputDataConfig)

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.

Parameters:

inputDataConfig - Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.

Returns:

Returns a reference to this object so that method calls can be chained together.

inputDataConfig

CreateAutoMlJobRequest.Builder inputDataConfig(Consumer<AutoMLChannel.Builder>... inputDataConfig)

Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.

This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #inputDataConfig(List).

Parameters:

inputDataConfig - a consumer that will call methods on List.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

#inputDataConfig(List)

outputDataConfig

CreateAutoMlJobRequest.Builder outputDataConfig(AutoMLOutputDataConfig outputDataConfig)

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

Parameters:

outputDataConfig - Similar to OutputDataConfig supported by Tuning. 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)

Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.

This is a convenience 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 kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Parameters:

problemType - Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

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 kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

Parameters:

problemType - Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.

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)

Defines the job's objective. You provide a MetricName and AutoML will infer minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric for problem type will be selected.

Parameters:

autoMLJobObjective - Defines the job's objective. You provide a MetricName and AutoML will infer minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric for problem type will be selected.

Returns:

Returns a reference to this object so that method calls can be chained together.

autoMLJobObjective

default CreateAutoMlJobRequest.Builder autoMLJobObjective(Consumer<AutoMLJobObjective.Builder> autoMLJobObjective)

Defines the job's objective. You provide a MetricName and AutoML will infer minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric for problem type will be selected.

This is a convenience 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)

Contains CompletionCriteria and SecurityConfig.

Parameters:

autoMLJobConfig - Contains CompletionCriteria and SecurityConfig.

Returns:

Returns a reference to this object so that method calls can be chained together.

autoMLJobConfig

default CreateAutoMlJobRequest.Builder autoMLJobConfig(Consumer<AutoMLJobConfig.Builder> autoMLJobConfig)

Contains CompletionCriteria and SecurityConfig.

This is a convenience 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 will be used to access the data.

Parameters:

roleArn - The ARN of the role that will be 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)

This will generate possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

Parameters:

generateCandidateDefinitionsOnly - This will generate possible candidates without training a model. 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)

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Parameters:

tags - Each tag consists of a key and an optional value. 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)

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Parameters:

tags - Each tag consists of a key and an optional value. 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)

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

This is a convenience that creates an instance of the List.Builder avoiding the need to create one manually via List#builder(). When the Consumer completes, List.Builder#build() is called immediately and its result is passed to #tags(List).

Parameters:

tags - a consumer that will call methods on List.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

#tags(List)

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