Package software.amazon.awssdk.services.personalize.model

Interface SolutionConfig.Builder

All Superinterfaces:

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

Enclosing class:

SolutionConfig

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

Method Summary

Modifier and Type	Method	Description
SolutionConfig.Builder	algorithmHyperParameters(Map<String,String> algorithmHyperParameters)	Lists the hyperparameter names and ranges.
default SolutionConfig.Builder	autoMLConfig(Consumer<AutoMLConfig.Builder> autoMLConfig)	The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
SolutionConfig.Builder	autoMLConfig(AutoMLConfig autoMLConfig)	The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
SolutionConfig.Builder	eventValueThreshold(String eventValueThreshold)	Only events with a value greater than or equal to this threshold are used for training a model.
SolutionConfig.Builder	featureTransformationParameters(Map<String,String> featureTransformationParameters)	Lists the feature transformation parameters.
default SolutionConfig.Builder	hpoConfig(Consumer<HPOConfig.Builder> hpoConfig)	Describes the properties for hyperparameter optimization (HPO).
SolutionConfig.Builder	hpoConfig(HPOConfig hpoConfig)	Describes the properties for hyperparameter optimization (HPO).
default SolutionConfig.Builder	optimizationObjective(Consumer<OptimizationObjective.Builder> optimizationObjective)	Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue.
SolutionConfig.Builder	optimizationObjective(OptimizationObjective optimizationObjective)	Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue.
default SolutionConfig.Builder	trainingDataConfig(Consumer<TrainingDataConfig.Builder> trainingDataConfig)	Specifies the training data configuration to use when creating a custom solution version (trained model).
SolutionConfig.Builder	trainingDataConfig(TrainingDataConfig trainingDataConfig)	Specifies the training data configuration to use when creating a custom solution version (trained model).

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 Details

eventValueThreshold

SolutionConfig.Builder eventValueThreshold(String eventValueThreshold)

Only events with a value greater than or equal to this threshold are used for training a model.

Parameters:

eventValueThreshold - Only events with a value greater than or equal to this threshold are used for training a model.

Returns:

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

hpoConfig

SolutionConfig.Builder hpoConfig(HPOConfig hpoConfig)

Describes the properties for hyperparameter optimization (HPO).

Parameters:

hpoConfig - Describes the properties for hyperparameter optimization (HPO).

Returns:

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

hpoConfig

default SolutionConfig.Builder hpoConfig(Consumer<HPOConfig.Builder> hpoConfig)

Describes the properties for hyperparameter optimization (HPO).

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

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to hpoConfig(HPOConfig).

Parameters:

hpoConfig - a consumer that will call methods on HPOConfig.Builder

Returns:

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

See Also:

• hpoConfig(HPOConfig)

algorithmHyperParameters

SolutionConfig.Builder algorithmHyperParameters(Map<String,String> algorithmHyperParameters)

Lists the hyperparameter names and ranges.

Parameters:

algorithmHyperParameters - Lists the hyperparameter names and ranges.

Returns:

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

featureTransformationParameters

SolutionConfig.Builder featureTransformationParameters(Map<String,String> featureTransformationParameters)

Lists the feature transformation parameters.

Parameters:

featureTransformationParameters - Lists the feature transformation parameters.

Returns:

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

autoMLConfig

SolutionConfig.Builder autoMLConfig(AutoMLConfig autoMLConfig)

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

Parameters:

autoMLConfig - The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

Returns:

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

autoMLConfig

default SolutionConfig.Builder autoMLConfig(Consumer<AutoMLConfig.Builder> autoMLConfig)

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

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

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to autoMLConfig(AutoMLConfig).

Parameters:

autoMLConfig - a consumer that will call methods on AutoMLConfig.Builder

Returns:

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

See Also:

• autoMLConfig(AutoMLConfig)

optimizationObjective

SolutionConfig.Builder optimizationObjective(OptimizationObjective optimizationObjective)

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

Parameters:

optimizationObjective - Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

Returns:

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

optimizationObjective

default SolutionConfig.Builder optimizationObjective(Consumer<OptimizationObjective.Builder> optimizationObjective)

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

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

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to optimizationObjective(OptimizationObjective).

Parameters:

optimizationObjective - a consumer that will call methods on OptimizationObjective.Builder

Returns:

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

See Also:

• optimizationObjective(OptimizationObjective)

trainingDataConfig

SolutionConfig.Builder trainingDataConfig(TrainingDataConfig trainingDataConfig)

Specifies the training data configuration to use when creating a custom solution version (trained model).

Parameters:

trainingDataConfig - Specifies the training data configuration to use when creating a custom solution version (trained model).

Returns:

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

trainingDataConfig

default SolutionConfig.Builder trainingDataConfig(Consumer<TrainingDataConfig.Builder> trainingDataConfig)

Specifies the training data configuration to use when creating a custom solution version (trained model).

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

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to trainingDataConfig(TrainingDataConfig).

Parameters:

trainingDataConfig - a consumer that will call methods on TrainingDataConfig.Builder

Returns:

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

See Also:

• trainingDataConfig(TrainingDataConfig)