Handle multiclass precision/recall (#152)
* handle multiclass precision/recall
This commit is contained in:
+12
-1
@@ -46,8 +46,11 @@ pub trait RealNumber:
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self * self
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}
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/// Raw transmutation to u64
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/// Raw transmutation to u32
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fn to_f32_bits(self) -> u32;
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/// Raw transmutation to u64
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fn to_f64_bits(self) -> u64;
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}
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impl RealNumber for f64 {
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@@ -89,6 +92,10 @@ impl RealNumber for f64 {
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fn to_f32_bits(self) -> u32 {
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self.to_bits() as u32
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}
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fn to_f64_bits(self) -> u64 {
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self.to_bits()
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}
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}
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impl RealNumber for f32 {
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@@ -130,6 +137,10 @@ impl RealNumber for f32 {
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fn to_f32_bits(self) -> u32 {
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self.to_bits()
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}
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fn to_f64_bits(self) -> u64 {
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self.to_bits() as u64
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}
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}
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#[cfg(test)]
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+41
-21
@@ -18,6 +18,8 @@
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//!
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//! <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
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//! <script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
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use std::collections::HashSet;
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#[cfg(feature = "serde")]
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use serde::{Deserialize, Serialize};
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@@ -42,34 +44,33 @@ impl Precision {
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);
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}
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let mut classes = HashSet::new();
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for i in 0..y_true.len() {
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classes.insert(y_true.get(i).to_f64_bits());
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}
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let classes = classes.len();
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let mut tp = 0;
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let mut p = 0;
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let n = y_true.len();
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for i in 0..n {
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if y_true.get(i) != T::zero() && y_true.get(i) != T::one() {
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panic!(
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"Precision can only be applied to binary classification: {}",
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y_true.get(i)
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);
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}
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if y_pred.get(i) != T::zero() && y_pred.get(i) != T::one() {
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panic!(
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"Precision can only be applied to binary classification: {}",
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y_pred.get(i)
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);
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}
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if y_pred.get(i) == T::one() {
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p += 1;
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let mut fp = 0;
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for i in 0..y_true.len() {
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if y_pred.get(i) == y_true.get(i) {
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if classes == 2 {
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if y_true.get(i) == T::one() {
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tp += 1;
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}
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} else {
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tp += 1;
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}
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} else if classes == 2 {
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if y_true.get(i) == T::one() {
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fp += 1;
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}
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} else {
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fp += 1;
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}
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}
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T::from_i64(tp).unwrap() / T::from_i64(p).unwrap()
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T::from_i64(tp).unwrap() / (T::from_i64(tp).unwrap() + T::from_i64(fp).unwrap())
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}
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}
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@@ -88,5 +89,24 @@ mod tests {
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assert!((score1 - 0.5).abs() < 1e-8);
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assert!((score2 - 1.0).abs() < 1e-8);
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let y_pred: Vec<f64> = vec![0., 0., 1., 1., 1., 1.];
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let y_true: Vec<f64> = vec![0., 1., 1., 0., 1., 0.];
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let score3: f64 = Precision {}.get_score(&y_pred, &y_true);
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assert!((score3 - 0.5).abs() < 1e-8);
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}
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#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
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#[test]
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fn precision_multiclass() {
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let y_true: Vec<f64> = vec![0., 0., 0., 1., 1., 1., 2., 2., 2.];
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let y_pred: Vec<f64> = vec![0., 1., 2., 0., 1., 2., 0., 1., 2.];
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let score1: f64 = Precision {}.get_score(&y_pred, &y_true);
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let score2: f64 = Precision {}.get_score(&y_pred, &y_pred);
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assert!((score1 - 0.333333333).abs() < 1e-8);
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assert!((score2 - 1.0).abs() < 1e-8);
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}
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}
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+42
-22
@@ -18,6 +18,9 @@
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//!
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//! <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
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//! <script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
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use std::collections::HashSet;
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use std::convert::TryInto;
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#[cfg(feature = "serde")]
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use serde::{Deserialize, Serialize};
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@@ -42,34 +45,32 @@ impl Recall {
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);
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}
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let mut classes = HashSet::new();
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for i in 0..y_true.len() {
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classes.insert(y_true.get(i).to_f64_bits());
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}
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let classes: i64 = classes.len().try_into().unwrap();
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let mut tp = 0;
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let mut p = 0;
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let n = y_true.len();
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for i in 0..n {
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if y_true.get(i) != T::zero() && y_true.get(i) != T::one() {
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panic!(
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"Recall can only be applied to binary classification: {}",
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y_true.get(i)
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);
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}
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if y_pred.get(i) != T::zero() && y_pred.get(i) != T::one() {
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panic!(
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"Recall can only be applied to binary classification: {}",
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y_pred.get(i)
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);
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}
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let mut fne = 0;
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for i in 0..y_true.len() {
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if y_pred.get(i) == y_true.get(i) {
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if classes == 2 {
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if y_true.get(i) == T::one() {
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p += 1;
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if y_pred.get(i) == T::one() {
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tp += 1;
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}
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} else {
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tp += 1;
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}
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} else if classes == 2 {
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if y_true.get(i) != T::one() {
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fne += 1;
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}
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} else {
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fne += 1;
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}
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}
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T::from_i64(tp).unwrap() / T::from_i64(p).unwrap()
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T::from_i64(tp).unwrap() / (T::from_i64(tp).unwrap() + T::from_i64(fne).unwrap())
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}
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}
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@@ -88,5 +89,24 @@ mod tests {
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assert!((score1 - 0.5).abs() < 1e-8);
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assert!((score2 - 1.0).abs() < 1e-8);
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let y_pred: Vec<f64> = vec![0., 0., 1., 1., 1., 1.];
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let y_true: Vec<f64> = vec![0., 1., 1., 0., 1., 0.];
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let score3: f64 = Recall {}.get_score(&y_pred, &y_true);
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assert!((score3 - 0.66666666).abs() < 1e-8);
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}
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#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
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#[test]
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fn recall_multiclass() {
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let y_true: Vec<f64> = vec![0., 0., 0., 1., 1., 1., 2., 2., 2.];
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let y_pred: Vec<f64> = vec![0., 1., 2., 0., 1., 2., 0., 1., 2.];
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let score1: f64 = Recall {}.get_score(&y_pred, &y_true);
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let score2: f64 = Recall {}.get_score(&y_pred, &y_pred);
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assert!((score1 - 0.333333333).abs() < 1e-8);
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assert!((score2 - 1.0).abs() < 1e-8);
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}
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}
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