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

Class SolutionConfig

    • Method Detail

      • eventValueThreshold

        public final String eventValueThreshold()

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

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

      • hpoConfig

        public final HPOConfig hpoConfig()

        Describes the properties for hyperparameter optimization (HPO).

        Returns:
        Describes the properties for hyperparameter optimization (HPO).

      • hasAlgorithmHyperParameters

        public final boolean hasAlgorithmHyperParameters()
        For responses, this returns true if the service returned a value for the AlgorithmHyperParameters property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.

      • algorithmHyperParameters

        public final Map<String,​String> algorithmHyperParameters()

        Lists the algorithm hyperparameters and their values.

        Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

        This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasAlgorithmHyperParameters() method.

        Returns:
        Lists the algorithm hyperparameters and their values.

      • hasFeatureTransformationParameters

        public final boolean hasFeatureTransformationParameters()
        For responses, this returns true if the service returned a value for the FeatureTransformationParameters property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.

      • featureTransformationParameters

        public final Map<String,​String> featureTransformationParameters()

        Lists the feature transformation parameters.

        Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

        This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasFeatureTransformationParameters() method.

        Returns:
        Lists the feature transformation parameters.

      • autoMLConfig

        public final AutoMLConfig autoMLConfig()

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

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

      • optimizationObjective

        public final OptimizationObjective optimizationObjective()

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

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

      • trainingDataConfig

        public final TrainingDataConfig trainingDataConfig()

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

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

      • autoTrainingConfig

        public final AutoTrainingConfig autoTrainingConfig()

        Specifies the automatic training configuration to use.

        Returns:
        Specifies the automatic training configuration to use.

      • hashCode

        public final int hashCode()
        Overrides:
        hashCode in class Object

      • equals

        public final boolean equals​(Object obj)
        Overrides:
        equals in class Object

      • toString

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object

      • getValueForField

        public final <T> Optional<T> getValueForField​(String fieldName,
                                              Class<T> clazz)