Package software.amazon.awssdk.services.sagemaker.model

Interface CandidateGenerationConfig.Builder

All Superinterfaces:

Buildable, CopyableBuilder<CandidateGenerationConfig.Builder,CandidateGenerationConfig>, SdkBuilder<CandidateGenerationConfig.Builder,CandidateGenerationConfig>, SdkPojo

Enclosing class:

CandidateGenerationConfig

public static interface CandidateGenerationConfig.Builder
extends SdkPojo, CopyableBuilder<CandidateGenerationConfig.Builder,CandidateGenerationConfig>

Method Summary

Modifier and Type	Method	Description
CandidateGenerationConfig.Builder	algorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)	Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
CandidateGenerationConfig.Builder	algorithmsConfig(Consumer<AutoMLAlgorithmConfig.Builder>... algorithmsConfig)	Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
CandidateGenerationConfig.Builder	algorithmsConfig(AutoMLAlgorithmConfig... algorithmsConfig)	Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

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

copy

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

applyMutation, build

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

equalsBySdkFields, sdkFields

Method Detail

algorithmsConfig

CandidateGenerationConfig.Builder algorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)

Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

Parameters:

algorithmsConfig - Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

Returns:

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

algorithmsConfig

CandidateGenerationConfig.Builder algorithmsConfig(AutoMLAlgorithmConfig... algorithmsConfig)

Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

Parameters:

algorithmsConfig - Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

Returns:

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

algorithmsConfig

CandidateGenerationConfig.Builder algorithmsConfig(Consumer<AutoMLAlgorithmConfig.Builder>... algorithmsConfig)

Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .

• AlgorithmsConfig should not be set in AUTO training mode.

• When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

  If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

• When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

This is a convenience method that creates an instance of the AutoMLAlgorithmConfig.Builder avoiding the need to create one manually via AutoMLAlgorithmConfig.builder().

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to #algorithmsConfig(List).

Parameters:

algorithmsConfig - a consumer that will call methods on AutoMLAlgorithmConfig.Builder

Returns:

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

See Also:

#algorithmsConfig(java.util.Collection)