> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fiddler.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# XaiParams

> Configuration parameters for explainability (XAI) analysis in Fiddler models.

Configuration parameters for explainability (XAI) analysis in Fiddler models.

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:

```python theme={null}
xai_params = XaiParams(
    custom_explain_methods=["custom_shap", "custom_lime", "domain_specific"],
    default_explain_method="custom_shap"
)
```

Creating XAI parameters with only default method:

```python theme={null}
simple_xai_params = XaiParams(
    default_explain_method="integrated_gradients"
)
```

Creating XAI parameters for multiple explanation strategies:

```python theme={null}
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):

```python theme={null}
default_xai_params = XaiParams()
```

## custom\_explain\_methods

User-defined explain\_custom method of the model object defined in package.py

## model\_config

Configuration for the model, should be a dictionary conforming to \[ConfigDict]\[pydantic.config.ConfigDict].

## default\_explain\_method

Default explanation method