work/smartcore
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Patch to version 0.4.0 (#257)

Browse Source 
* 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
Download Patch File Download Diff File Expand all files Collapse all files
src/tree/decision_tree_classifier.rs
+9 -5
View File
@@ -48,7 +48,7 @@
//! &[4.9, 2.4, 3.3, 1.0],
//! &[6.6, 2.9, 4.6, 1.3],
//! &[5.2, 2.7, 3.9, 1.4],
//! ]);
//! ]).unwrap();
//! let y = vec![ 0, 0, 0, 0, 0, 0, 0, 0,
//! 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1];
//!
@@ -964,7 +964,8 @@ mod tests {
&[4.9, 2.4, 3.3, 1.0],
&[6.6, 2.9, 4.6, 1.3],
&[5.2, 2.7, 3.9, 1.4],
]);
])
.unwrap();
let y: Vec<u32> = vec![0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1];
assert_eq!(
@@ -1031,7 +1032,8 @@ mod tests {
&[0., 0., 1., 1.],
&[0., 0., 0., 0.],
&[0., 0., 0., 1.],
]);
])
.unwrap();
let y: Vec<u32> = vec![1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0];
assert_eq!(
@@ -1065,7 +1067,8 @@ mod tests {
&[0., 0., 1., 1.],
&[0., 0., 0., 0.],
&[0., 0., 0., 1.],
]);
])
.unwrap();
let y: Vec<u32> = vec![1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0];
let tree = DecisionTreeClassifier::fit(&x, &y, Default::default()).unwrap();
assert_eq!(
@@ -1106,7 +1109,8 @@ mod tests {
&[0., 0., 1., 1.],
&[0., 0., 0., 0.],
&[0., 0., 0., 1.],
]);
])
.unwrap();
let y = vec![1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0];
let tree = DecisionTreeClassifier::fit(&x, &y, Default::default()).unwrap();
src/tree/decision_tree_regressor.rs
+5 -3
View File
@@ -39,7 +39,7 @@
//! &[502.601, 393.1, 251.4, 125.368, 1960., 69.564],
//! &[518.173, 480.6, 257.2, 127.852, 1961., 69.331],
//! &[554.894, 400.7, 282.7, 130.081, 1962., 70.551],
//! ]);
//! ]).unwrap();
//! let y: Vec<f64> = vec![
//! 83.0, 88.5, 88.2, 89.5, 96.2, 98.1, 99.0, 100.0,
//! 101.2, 104.6, 108.4, 110.8, 112.6, 114.2, 115.7, 116.9,
@@ -753,7 +753,8 @@ mod tests {
&[502.601, 393.1, 251.4, 125.368, 1960., 69.564],
&[518.173, 480.6, 257.2, 127.852, 1961., 69.331],
&[554.894, 400.7, 282.7, 130.081, 1962., 70.551],
]);
])
.unwrap();
let y: Vec<f64> = vec![
83.0, 88.5, 88.2, 89.5, 96.2, 98.1, 99.0, 100.0, 101.2, 104.6, 108.4, 110.8, 112.6,
114.2, 115.7, 116.9,
@@ -834,7 +835,8 @@ mod tests {
&[502.601, 393.1, 251.4, 125.368, 1960., 69.564],
&[518.173, 480.6, 257.2, 127.852, 1961., 69.331],
&[554.894, 400.7, 282.7, 130.081, 1962., 70.551],
]);
])
.unwrap();
let y: Vec<f64> = vec![
83.0, 88.5, 88.2, 89.5, 96.2, 98.1, 99.0, 100.0, 101.2, 104.6, 108.4, 110.8, 112.6,
114.2, 115.7, 116.9,