Files
smartcore/src/metrics/f1.rs
Luis Moreno 162bed2aa2 feat: added support to wasm (#94)
* test: run tests also in wasm targets

* fix: install rand with wasm-bindgen por wasm targets

* fix: use actual usize size to access buffer.

* fix: do not run functions that create files in wasm.

* test: do not run in wasm test that panics.

Co-authored-by: Luis Moreno <morenol@users.noreply.github.com>
2021-04-28 15:58:39 -04:00

75 lines
2.3 KiB
Rust

//! # F-measure
//!
//! Harmonic mean of the precision and recall.
//!
//! \\[f1 = (1 + \beta^2)\frac{precision \times recall}{\beta^2 \times precision + recall}\\]
//!
//! where \\(\beta \\) is a positive real factor, where \\(\beta \\) is chosen such that recall is considered \\(\beta \\) times as important as precision.
//!
//! Example:
//!
//! ```
//! use smartcore::metrics::f1::F1;
//! let y_pred: Vec<f64> = vec![0., 0., 1., 1., 1., 1.];
//! let y_true: Vec<f64> = vec![0., 1., 1., 0., 1., 0.];
//!
//! let score: f64 = F1 {beta: 1.0}.get_score(&y_pred, &y_true);
//! ```
//!
//! <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
//! <script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
#[cfg(feature = "serde")]
use serde::{Deserialize, Serialize};
use crate::linalg::BaseVector;
use crate::math::num::RealNumber;
use crate::metrics::precision::Precision;
use crate::metrics::recall::Recall;
/// F-measure
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
#[derive(Debug)]
pub struct F1<T: RealNumber> {
/// a positive real factor
pub beta: T,
}
impl<T: RealNumber> F1<T> {
/// Computes F1 score
/// * `y_true` - cround truth (correct) labels.
/// * `y_pred` - predicted labels, as returned by a classifier.
pub fn get_score<V: BaseVector<T>>(&self, y_true: &V, y_pred: &V) -> T {
if y_true.len() != y_pred.len() {
panic!(
"The vector sizes don't match: {} != {}",
y_true.len(),
y_pred.len()
);
}
let beta2 = self.beta * self.beta;
let p = Precision {}.get_score(y_true, y_pred);
let r = Recall {}.get_score(y_true, y_pred);
(T::one() + beta2) * (p * r) / (beta2 * p + r)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn f1() {
let y_pred: Vec<f64> = vec![0., 0., 1., 1., 1., 1.];
let y_true: Vec<f64> = vec![0., 1., 1., 0., 1., 0.];
let score1: f64 = F1 { beta: 1.0 }.get_score(&y_pred, &y_true);
let score2: f64 = F1 { beta: 1.0 }.get_score(&y_true, &y_true);
assert!((score1 - 0.57142857).abs() < 1e-8);
assert!((score2 - 1.0).abs() < 1e-8);
}
}