Module explain_generic 

Generic explainability for any FPC-based model.

Provides the FpcPredictor trait and generic functions that work with any model that implements it — including linear regression, logistic regression, and classification models (LDA, QDA, kNN).

The generic functions delegate to internal helpers from crate::explain.

Re-exports

pub use ale::generic_ale;

pub use anchor::generic_anchor;

pub use counterfactual::generic_counterfactual;

pub use friedman::generic_friedman_h;

pub use importance::generic_conditional_permutation_importance;

pub use importance::generic_permutation_importance;

pub use lime::generic_lime;

pub use pdp::generic_pdp;

pub use prototype::generic_prototype_criticism;

pub use saliency::generic_domain_selection;

pub use saliency::generic_saliency;

pub use shap::generic_shap_values;

pub use sobol::generic_sobol_indices;

pub use stability::generic_stability;

pub use stability::generic_vif;

Modules

ale

anchor

counterfactual

friedman

importance

lime

pdp

prototype

saliency

shap

sobol

stability

Enums

TaskType

The type of prediction task a model solves.

Traits

FpcPredictor

Trait abstracting over any FPC-based model for generic explainability.