permutation_test_score

sklears_model_selection

Function permutation_test_score 

Source 
pub fn permutation_test_score<E, F, C>(
    estimator: E,
    x: &Array2<Float>,
    y: &Array1<Float>,
    cv: &C,
    scoring: Option<Scoring>,
    n_permutations: usize,
    random_state: Option<u64>,
    n_jobs: Option<usize>,
) -> Result<PermutationTestResult>
where
    E: Clone + Fit<Array2<Float>, Array1<Float>, Fitted = F>,
    F: Clone + Predict<Array2<Float>, Array1<Float>> + Score<Array2<Float>, Array1<Float>, Float = f64>,
    C: CrossValidator,
Expand description

Evaluate the significance of a cross-validated score with permutations

This function tests whether the estimator performs significantly better than random by computing cross-validation scores on permuted labels.