Struct SamplingExplainer 

pub struct SamplingExplainer<M, K = IndependentMasker> { /* private fields */ }

Monte-Carlo Sampling SHAP. Samples random feature orderings and averages marginal contributions; the execution engine is shared with permutation SHAP because those are the defining samples of the Shapley distribution.

Implementations

impl<M> SamplingExplainer<M, IndependentMasker>

pub fn new(model: M, background: Background) -> Self

impl<M, K> SamplingExplainer<M, K>

pub fn from_masker(model: M, masker: K) -> Self

pub fn with_nsamples(self, n: usize) -> Self

pub fn with_seed(self, s: u64) -> Self

pub fn with_antithetic(self, enabled: bool) -> Self

pub fn with_link(self, link: Link) -> Self

pub fn with_evaluation_config(self, c: EvaluationConfig) -> Self

impl<M: Predict, K: Masker> SamplingExplainer<M, K>

pub fn explain_with_uncertainty( &self, x: ArrayView2<'_, f64>, repeats: usize, ) -> Result<UncertainExplanation>

Trait Implementations

impl<M: Predict, K: Masker> Explainer for SamplingExplainer<M, K>

fn explain(&self, x: ArrayView2<'_, f64>) -> Result<Explanation>