Interface CfnSolution.SolutionConfigProperty
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
CfnSolution.SolutionConfigProperty.Jsii$Proxy
- Enclosing class:
- CfnSolution
@Stability(Stable)
public static interface CfnSolution.SolutionConfigProperty
extends software.amazon.jsii.JsiiSerializable
Describes the configuration properties for the solution.
Example:
// The code below shows an example of how to instantiate this type. // The values are placeholders you should change. import software.amazon.awscdk.services.personalize.*; Object autoMlConfig; Object hpoConfig; SolutionConfigProperty solutionConfigProperty = SolutionConfigProperty.builder() .algorithmHyperParameters(Map.of( "algorithmHyperParametersKey", "algorithmHyperParameters")) .autoMlConfig(autoMlConfig) .eventValueThreshold("eventValueThreshold") .featureTransformationParameters(Map.of( "featureTransformationParametersKey", "featureTransformationParameters")) .hpoConfig(hpoConfig) .build();
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Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final class
A builder forCfnSolution.SolutionConfigProperty
static final class
An implementation forCfnSolution.SolutionConfigProperty
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Method Summary
Modifier and TypeMethodDescriptionbuilder()
default Object
Lists the hyperparameter names and ranges.default Object
The AutoMLConfig object containing a list of recipes to search when AutoML is performed.default String
Only events with a value greater than or equal to this threshold are used for training a model.default Object
Lists the feature transformation parameters.default Object
Describes the properties for hyperparameter optimization (HPO).Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
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Method Details
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getAlgorithmHyperParameters
Lists the hyperparameter names and ranges. -
getAutoMlConfig
The AutoMLConfig object containing a list of recipes to search when AutoML is performed. -
getEventValueThreshold
Only events with a value greater than or equal to this threshold are used for training a model. -
getFeatureTransformationParameters
Lists the feature transformation parameters. -
getHpoConfig
Describes the properties for hyperparameter optimization (HPO). -
builder
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