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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/model_selection/mod.rs
+4
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@@ -285,6 +285,7 @@ mod tests {
use crate::model_selection::kfold::KFold;
use crate::neighbors::knn_regressor::KNNRegressor;
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn run_train_test_split() {
let n = 123;
@@ -308,6 +309,7 @@ mod tests {
#[derive(Clone)]
struct NoParameters {}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn test_cross_validate_biased() {
struct BiasedEstimator {}
@@ -367,6 +369,7 @@ mod tests {
assert_eq!(0.4, results.mean_train_score());
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn test_cross_validate_knn() {
let x = DenseMatrix::from_2d_array(&[
@@ -411,6 +414,7 @@ mod tests {
assert!(results.mean_train_score() < results.mean_test_score());
}
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn test_cross_val_predict_knn() {
let x = DenseMatrix::from_2d_array(&[