fix: fix code to be compatible with rand 0.8, following the recommendations of https://rust-random.github.io/book/update-0.8.html and https://docs.rs/getrandom/0.2.2/getrandom/#webassembly-support

src/cluster/kmeans.rs

@@ -245,7 +245,7 @@ impl<T: RealNumber + Sum> KMeans<T> {
         let mut rng = rand::thread_rng();
         let (n, m) = data.shape();
         let mut y = vec![0; n];
-        let mut centroid = data.get_row_as_vec(rng.gen_range(0, n));
+        let mut centroid = data.get_row_as_vec(rng.gen_range(0..n));
 
         let mut d = vec![T::max_value(); n];
 

src/ensemble/random_forest_classifier.rs

@@ -265,7 +265,7 @@ impl<T: RealNumber> RandomForestClassifier<T> {
 
             let size = ((n_samples as f64) / *class_weight_l) as usize;
             for _ in 0..size {
-                let xi: usize = rng.gen_range(0, n_samples);
+                let xi: usize = rng.gen_range(0..n_samples);
                 samples[index[xi]] += 1;
             }
         }

src/ensemble/random_forest_regressor.rs

@@ -218,7 +218,7 @@ impl<T: RealNumber> RandomForestRegressor<T> {
         let mut rng = rand::thread_rng();
         let mut samples = vec![0; nrows];
         for _ in 0..nrows {
-            let xi = rng.gen_range(0, nrows);
+            let xi = rng.gen_range(0..nrows);
             samples[xi] += 1;
         }
         samples