SolutionConfigArgs

data class SolutionConfigArgs(val algorithmHyperParameters: Output<Any>? = null, val autoMlConfig: Output<SolutionConfigAutoMlConfigPropertiesArgs>? = null, val eventValueThreshold: Output<String>? = null, val featureTransformationParameters: Output<Any>? = null, val hpoConfig: Output<SolutionConfigHpoConfigPropertiesArgs>? = null) : ConvertibleToJava<SolutionConfigArgs>

The configuration to use with the solution. When performAutoML is set to true, Amazon Personalize only evaluates the autoMLConfig section of the solution configuration.

Constructors

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fun SolutionConfigArgs(algorithmHyperParameters: Output<Any>? = null, autoMlConfig: Output<SolutionConfigAutoMlConfigPropertiesArgs>? = null, eventValueThreshold: Output<String>? = null, featureTransformationParameters: Output<Any>? = null, hpoConfig: Output<SolutionConfigHpoConfigPropertiesArgs>? = null)

Functions

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open override fun toJava(): SolutionConfigArgs

Properties

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val algorithmHyperParameters: Output<Any>? = null

Lists the hyperparameter names and ranges.

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

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val eventValueThreshold: Output<String>? = null

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

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Lists the feature transformation parameters.

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Describes the properties for hyperparameter optimization (HPO)