XaiParams

XaiParams defines the configuration for explainability analysis, including custom explanation methods and default explanation strategies. These parameters control how feature importance, SHAP values, and other explainability metrics are computed for your model. This configuration is essential for models that require custom explanation logic or when you want to override the default explanation methods provided by Fiddler’s built-in explainability features.

Examples

Creating XAI parameters with custom methods:

xai_params = XaiParams(
    custom_explain_methods=["custom_shap", "custom_lime", "domain_specific"],
    default_explain_method="custom_shap"
)

Creating XAI parameters with only default method:

simple_xai_params = XaiParams(
    default_explain_method="integrated_gradients"
)

Creating XAI parameters for multiple explanation strategies:

multi_xai_params = XaiParams(
    custom_explain_methods=[
        "business_rule_explainer",
        "feature_interaction_explainer",
        "counterfactual_explainer"
    ],
    default_explain_method="business_rule_explainer"
)

Creating empty XAI parameters (use Fiddler defaults):

default_xai_params = XaiParams()

Attributes

User-defined explain_custom method of the model object defined in package.py

Default explanation method

Fiddler Python Client SDK

Fiddler Evals SDK

Fiddler OTel SDK

Fiddler LangGraph SDK

Fiddler LangChain SDK

Fiddler Google ADK SDK

Fiddler Strands Agent SDK

Fiddler OTel JS SDK

Fiddler LangGraph JS SDK

Fiddler LangChain JS SDK

Examples

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Examples

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