public static interface SolutionConfig.Builder extends SdkPojo, CopyableBuilder<SolutionConfig.Builder,SolutionConfig>
| Modifier and Type | Method and Description |
|---|---|
SolutionConfig.Builder |
algorithmHyperParameters(Map<String,String> algorithmHyperParameters)
Lists the hyperparameter names and ranges.
|
SolutionConfig.Builder |
autoMLConfig(AutoMLConfig autoMLConfig)
The AutoMLConfig object
containing a list of recipes to search when AutoML is performed.
|
default SolutionConfig.Builder |
autoMLConfig(Consumer<AutoMLConfig.Builder> 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).
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildSolutionConfig.Builder eventValueThreshold(String eventValueThreshold)
Only events with a value greater than or equal to this threshold are used for training a model.
eventValueThreshold - Only events with a value greater than or equal to this threshold are used for training a model.SolutionConfig.Builder hpoConfig(HPOConfig hpoConfig)
Describes the properties for hyperparameter optimization (HPO).
hpoConfig - Describes the properties for hyperparameter optimization (HPO).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 theHPOConfig.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).
hpoConfig - a consumer that will call methods on HPOConfig.BuilderhpoConfig(HPOConfig)SolutionConfig.Builder algorithmHyperParameters(Map<String,String> algorithmHyperParameters)
Lists the hyperparameter names and ranges.
algorithmHyperParameters - Lists the hyperparameter names and ranges.SolutionConfig.Builder featureTransformationParameters(Map<String,String> featureTransformationParameters)
Lists the feature transformation parameters.
featureTransformationParameters - Lists the feature transformation parameters.SolutionConfig.Builder autoMLConfig(AutoMLConfig autoMLConfig)
The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
autoMLConfig - The AutoMLConfig
object containing a list of recipes to search when AutoML is performed.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 theAutoMLConfig.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).
autoMLConfig - a consumer that will call methods on AutoMLConfig.BuilderautoMLConfig(AutoMLConfig)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.
optimizationObjective - Describes the additional objective for the solution, such as maximizing streaming minutes or
increasing revenue. For more information see Optimizing a solution.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 theOptimizationObjective.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).
optimizationObjective - a consumer that will call methods on OptimizationObjective.BuilderoptimizationObjective(OptimizationObjective)SolutionConfig.Builder trainingDataConfig(TrainingDataConfig trainingDataConfig)
Specifies the training data configuration to use when creating a custom solution version (trained model).
trainingDataConfig - Specifies the training data configuration to use when creating a custom solution version (trained
model).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 theTrainingDataConfig.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).
trainingDataConfig - a consumer that will call methods on TrainingDataConfig.BuildertrainingDataConfig(TrainingDataConfig)Copyright © 2023. All rights reserved.