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feat: added support to wasm (#94)

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* 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>
This commit is contained in:
Luis Moreno
2021-04-28 15:58:39 -04:00
committed by GitHub
parent 5ed5772a4e
commit 162bed2aa2
71 changed files with 294 additions and 51 deletions
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src/linear/logistic_regression.rs
+7
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@@ -452,6 +452,7 @@ mod tests {
use crate::linalg::naive::dense_matrix::*;
use crate::metrics::accuracy;
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn multiclass_objective_f() {
let x = DenseMatrix::from_2d_array(&[
@@ -519,6 +520,7 @@ mod tests {
assert!((g.get(0, 0).abs() - 32.0).abs() < 1e-4);
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn binary_objective_f() {
let x = DenseMatrix::from_2d_array(&[
@@ -575,6 +577,7 @@ mod tests {
assert!((g.get(0, 2) - 3.8693).abs() < 1e-4);
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn lr_fit_predict() {
let x = DenseMatrix::from_2d_array(&[
@@ -612,6 +615,7 @@ mod tests {
);
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn lr_fit_predict_multiclass() {
let blobs = make_blobs(15, 4, 3);
@@ -635,6 +639,7 @@ mod tests {
assert!(lr_reg.coefficients().abs().sum() < lr.coefficients().abs().sum());
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn lr_fit_predict_binary() {
let blobs = make_blobs(20, 4, 2);
@@ -658,6 +663,7 @@ mod tests {
assert!(lr_reg.coefficients().abs().sum() < lr.coefficients().abs().sum());
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
#[cfg(feature = "serde")]
fn serde() {
@@ -688,6 +694,7 @@ mod tests {
assert_eq!(lr, deserialized_lr);
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn lr_fit_predict_iris() {
let x = DenseMatrix::from_2d_array(&[