Function test_normality 

pub fn test_normality<F, S1, S2, D1, D2>(
    y_true: &ArrayBase<S1, D1>,
    y_pred: &ArrayBase<S2, D2>,
) -> Result<F>
where
    F: Float + NumCast + Debug + FromPrimitive,
    S1: Data<Elem = F>,
    S2: Data<Elem = F>,
    D1: Dimension,
    D2: Dimension,

Checks for normality of residuals using Shapiro-Wilk test

Arguments

• y_true - Ground truth (correct) target values
• y_pred - Estimated target values

Returns

• Shapiro-Wilk test statistic

Examples

use scirs2_core::ndarray::array;
use scirs2_metrics::regression::test_normality;

let y_true = array![3.0, -0.5, 2.0, 7.0, 5.0, 8.0, 1.0, 4.0];
let y_pred = array![2.5, 0.0, 2.0, 8.0, 4.5, 7.5, 1.5, 3.5];

let sw_stat = test_normality(&y_true, &y_pred).unwrap();
// SW statistic ranges from 0 to 1, with values close to 1 indicating normality
assert!(sw_stat >= 0.0 && sw_stat <= 1.0);