Class ClarifyShapConfig

    • Method Detail

      • shapBaselineConfig

        public final ClarifyShapBaselineConfig shapBaselineConfig()

        The configuration for the SHAP baseline of the Kernal SHAP algorithm.

        Returns:
        The configuration for the SHAP baseline of the Kernal SHAP algorithm.
      • numberOfSamples

        public final Integer numberOfSamples()

        The number of samples to be used for analysis by the Kernal SHAP algorithm.

        The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.

        Returns:
        The number of samples to be used for analysis by the Kernal SHAP algorithm.

        The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.

      • useLogit

        public final Boolean useLogit()

        A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.

        Returns:
        A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.
      • seed

        public final Integer seed()

        The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.

        Returns:
        The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.
      • textConfig

        public final ClarifyTextConfig textConfig()

        A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.

        Returns:
        A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.
      • 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)