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Patch to version 0.4.0 (#257)

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* uncomment test

* Add random test for logistic regression

* linting

* Bump version

* Add test for logistic regression

* linting

* initial commit

* final

* final-clean

* Bump to 0.4.0

* Fix linter

* cleanup

* Update CHANDELOG with breaking changes

* Update CHANDELOG date

* Add functional methods to DenseMatrix implementation

* linting

* add type declaration in test

* Fix Wasm tests failing

* linting

* fix tests

* linting

* Add type annotations on BBDTree constructor

* fix clippy

* fix clippy

* fix tests

* bump version

* run fmt. fix changelog

---------

Co-authored-by: Edmund Cape <edmund@Edmunds-MacBook-Pro.local>
This commit is contained in:
Lorenzo
2024-03-04 13:51:27 +00:00
committed by GitHub
parent 80a93c1a0e
commit 239c00428f
45 changed files with 759 additions and 406 deletions
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src/linalg/traits/stats.rs
+15 -11
View File
@@ -136,8 +136,8 @@ pub trait MatrixPreprocessing<T: RealNumber>: MutArrayView2<T> + Clone {
/// ```rust
/// use smartcore::linalg::basic::matrix::DenseMatrix;
/// use smartcore::linalg::traits::stats::MatrixPreprocessing;
/// let mut a = DenseMatrix::from_2d_array(&[&[0., 2., 3.], &[-5., -6., -7.]]);
/// let expected = DenseMatrix::from_2d_array(&[&[0., 1., 1.],&[0., 0., 0.]]);
/// let mut a = DenseMatrix::from_2d_array(&[&[0., 2., 3.], &[-5., -6., -7.]]).unwrap();
/// let expected = DenseMatrix::from_2d_array(&[&[0., 1., 1.],&[0., 0., 0.]]).unwrap();
/// a.binarize_mut(0.);
///
/// assert_eq!(a, expected);
@@ -159,8 +159,8 @@ pub trait MatrixPreprocessing<T: RealNumber>: MutArrayView2<T> + Clone {
/// ```rust
/// use smartcore::linalg::basic::matrix::DenseMatrix;
/// use smartcore::linalg::traits::stats::MatrixPreprocessing;
/// let a = DenseMatrix::from_2d_array(&[&[0., 2., 3.], &[-5., -6., -7.]]);
/// let expected = DenseMatrix::from_2d_array(&[&[0., 1., 1.],&[0., 0., 0.]]);
/// let a = DenseMatrix::from_2d_array(&[&[0., 2., 3.], &[-5., -6., -7.]]).unwrap();
/// let expected = DenseMatrix::from_2d_array(&[&[0., 1., 1.],&[0., 0., 0.]]).unwrap();
///
/// assert_eq!(a.binarize(0.), expected);
/// ```
@@ -186,7 +186,8 @@ mod tests {
&[1., 2., 3., 1., 2.],
&[4., 5., 6., 3., 4.],
&[7., 8., 9., 5., 6.],
]);
])
.unwrap();
let expected_0 = vec![4., 5., 6., 3., 4.];
let expected_1 = vec![1.8, 4.4, 7.];
@@ -196,7 +197,7 @@ mod tests {
#[test]
fn test_var() {
let m = DenseMatrix::from_2d_array(&[&[1., 2., 3., 4.], &[5., 6., 7., 8.]]);
let m = DenseMatrix::from_2d_array(&[&[1., 2., 3., 4.], &[5., 6., 7., 8.]]).unwrap();
let expected_0 = vec![4., 4., 4., 4.];
let expected_1 = vec![1.25, 1.25];
@@ -211,7 +212,8 @@ mod tests {
let m = DenseMatrix::from_2d_array(&[
&[0.0, 0.25, 0.25, 1.25, 1.5, 1.75, 2.75, 3.25],
&[0.0, 0.25, 0.25, 1.25, 1.5, 1.75, 2.75, 3.25],
]);
])
.unwrap();
let expected_0 = vec![0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0];
let expected_1 = vec![1.25, 1.25];
@@ -230,7 +232,8 @@ mod tests {
&[1., 2., 3., 1., 2.],
&[4., 5., 6., 3., 4.],
&[7., 8., 9., 5., 6.],
]);
])
.unwrap();
let expected_0 = vec![
2.449489742783178,
2.449489742783178,
@@ -251,10 +254,10 @@ mod tests {
#[test]
fn test_scale() {
let m: DenseMatrix<f64> =
DenseMatrix::from_2d_array(&[&[1., 2., 3., 4.], &[5., 6., 7., 8.]]);
DenseMatrix::from_2d_array(&[&[1., 2., 3., 4.], &[5., 6., 7., 8.]]).unwrap();
let expected_0: DenseMatrix<f64> =
DenseMatrix::from_2d_array(&[&[-1., -1., -1., -1.], &[1., 1., 1., 1.]]);
DenseMatrix::from_2d_array(&[&[-1., -1., -1., -1.], &[1., 1., 1., 1.]]).unwrap();
let expected_1: DenseMatrix<f64> = DenseMatrix::from_2d_array(&[
&[
-1.3416407864998738,
@@ -268,7 +271,8 @@ mod tests {
0.4472135954999579,
1.3416407864998738,
],
]);
])
.unwrap();
assert_eq!(m.mean(0), vec![3.0, 4.0, 5.0, 6.0]);
assert_eq!(m.mean(1), vec![2.5, 6.5]);