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Linear regression example #166

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e7c9381
Quick and dirty linear regression
LukeMathWalker Jul 17, 2019
7f1a2e1
Basic version works
LukeMathWalker Jul 17, 2019
c4c78e7
Fix warnings
LukeMathWalker Jul 17, 2019
ea7b475
Proper generation of data and target
LukeMathWalker Jul 17, 2019
00b9fd4
Tune range
LukeMathWalker Jul 17, 2019
71ceb20
Polishing
LukeMathWalker Jul 17, 2019
ddbd5e1
Polish predict function
LukeMathWalker Jul 17, 2019
208f451
Missing reference
LukeMathWalker Jul 17, 2019
53f8124
Spacing
LukeMathWalker Jul 17, 2019
d4be0bb
Run cargo fmt
LukeMathWalker Jul 17, 2019
673c41d
Fix typo in println
LukeMathWalker Jul 20, 2019
de20e5f
Split in two files, with proper visibility for methods on LinearRegre…
LukeMathWalker Jul 20, 2019
cdd3c5d
Add docs.
LukeMathWalker Jul 20, 2019
85e11f8
Quote the original repo, not forks
LukeMathWalker Jul 20, 2019
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Quote the original repo, not forks
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@LukeMathWalker
LukeMathWalker committed Jul 20, 2019
commit 85e11f8be9ede442cc576c08bf0ff726a1730597
2 changes: 1 addition & 1 deletion examples/linear_regression/linear_regression.rs
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Expand Up @@ -15,7 +15,7 @@ use ndarray_linalg::Solve;
/// b = (X^T X)^{-1} X^T y
/// where (X^T X)^{-1} X^T is known as the pseudoinverse or Moore-Penrose inverse.
///
/// Adapted from: https://github.com/xinscrs/numpy-ml
/// Adapted from: https://github.com/ddbourgin/numpy-ml
pub struct LinearRegression {
pub beta: Option<Array1<f64>>,
fit_intercept: bool,
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