Method predict_proba

crates/openquant/tests/fingerprint.rs:27–34

(&self, x: &[Vec<f64>])

impl ClassificationPredictor for NonLinearClsModel {
    fn predict_proba(&self, x: &[Vec<f64>]) -> Vec<f64> {
        x.iter()
            .map(|r| {
                let z = 1.5 * r[0] + 0.8 * r[1] * r[1] + 0.5 * r[0] * r[2] - 0.2 * r[3];
                1.0 / (1.0 + (-z).exp())
            })
            .collect()
    }
}

fn synthetic_x(n: usize, p: usize) -> Vec<Vec<f64>> {