| Package | Description |
|---|---|
| software.amazon.awssdk.services.personalize.model |
| Modifier and Type | Method and Description |
|---|---|
SolutionConfig.Builder |
SolutionConfig.Builder.algorithmHyperParameters(Map<String,String> algorithmHyperParameters)
Lists the hyperparameter names and ranges.
|
SolutionConfig.Builder |
SolutionConfig.Builder.autoMLConfig(AutoMLConfig autoMLConfig)
The AutoMLConfig object
containing a list of recipes to search when AutoML is performed.
|
default SolutionConfig.Builder |
SolutionConfig.Builder.autoMLConfig(Consumer<AutoMLConfig.Builder> autoMLConfig)
The AutoMLConfig object
containing a list of recipes to search when AutoML is performed.
|
static SolutionConfig.Builder |
SolutionConfig.builder() |
SolutionConfig.Builder |
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 |
SolutionConfig.Builder.featureTransformationParameters(Map<String,String> featureTransformationParameters)
Lists the feature transformation parameters.
|
default SolutionConfig.Builder |
SolutionConfig.Builder.hpoConfig(Consumer<HPOConfig.Builder> hpoConfig)
Describes the properties for hyperparameter optimization (HPO).
|
SolutionConfig.Builder |
SolutionConfig.Builder.hpoConfig(HPOConfig hpoConfig)
Describes the properties for hyperparameter optimization (HPO).
|
default SolutionConfig.Builder |
SolutionConfig.Builder.optimizationObjective(Consumer<OptimizationObjective.Builder> optimizationObjective)
Describes the additional objective for the solution, such as maximizing streaming minutes or increasing
revenue.
|
SolutionConfig.Builder |
SolutionConfig.Builder.optimizationObjective(OptimizationObjective optimizationObjective)
Describes the additional objective for the solution, such as maximizing streaming minutes or increasing
revenue.
|
SolutionConfig.Builder |
SolutionConfig.toBuilder() |
default SolutionConfig.Builder |
SolutionConfig.Builder.trainingDataConfig(Consumer<TrainingDataConfig.Builder> trainingDataConfig)
Specifies the training data configuration to use when creating a custom solution version (trained model).
|
SolutionConfig.Builder |
SolutionConfig.Builder.trainingDataConfig(TrainingDataConfig trainingDataConfig)
Specifies the training data configuration to use when creating a custom solution version (trained model).
|
| Modifier and Type | Method and Description |
|---|---|
static Class<? extends SolutionConfig.Builder> |
SolutionConfig.serializableBuilderClass() |
| Modifier and Type | Method and Description |
|---|---|
default Solution.Builder |
Solution.Builder.solutionConfig(Consumer<SolutionConfig.Builder> solutionConfig)
Describes the configuration properties for the solution.
|
default CreateSolutionRequest.Builder |
CreateSolutionRequest.Builder.solutionConfig(Consumer<SolutionConfig.Builder> solutionConfig)
The configuration to use with the solution.
|
default SolutionVersion.Builder |
SolutionVersion.Builder.solutionConfig(Consumer<SolutionConfig.Builder> solutionConfig)
Describes the configuration properties for the solution.
|
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