moonalloy 0.3.2

The oxidized scientific computing library for the 21st century
Documentation 
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use crate::linalg::array::Array;
use crate::machine_learning::model::Model;

pub fn evaluate_simple_linear_regression(
    observations: Array,
    xs: Array,
    model: &mut dyn Model,
) -> f64 {
    let predictions = model.predict(xs);

    if observations.len() == predictions.len() {
        let cos = cos_angle(observations, predictions);
        if cos < 0.0 {
            cos * -1.0
        } else {
            cos
        }
    } else {
        panic!("Error: Arrays lengths differ.");
    }
}

fn cos_angle(v1: Array, v2: Array) -> f64 {
    v1.dotp(&v2) / (v1.norm() * v2.norm())
}