fix: code cleanup

src/ensemble/random_forest_regressor.rs

@@ -144,7 +144,7 @@ mod tests {
     }
 
     #[test]
-    fn my_fit_longley1() {             
+    fn my_fit_longley_ndarray() {             
 
         let x = arr2(&[
             [ 234.289,  235.6,  159.,  107.608, 1947.,   60.323],
@@ -163,9 +163,7 @@ 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]]);
-        let y = arr1(&[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]); 
-        
-        println!("{:?}", y.shape());
+        let y = arr1(&[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]);             
 
         let expected_y: Vec<f64> = vec![85., 88., 88., 89., 97., 98., 99., 99., 102., 104., 109., 110., 113., 114., 115., 116.];
 
@@ -174,9 +172,7 @@ mod tests {
                 min_samples_leaf: 1,
                 min_samples_split: 2,
                 n_trees: 1000,
-                mtry: Option::None}).predict(&x);    
-                
-        println!("{:?}", y_hat);
+                mtry: Option::None}).predict(&x);                        
 
         for i in 0..y_hat.len() {
             assert!((y_hat[i] - expected_y[i]).abs() < 1.0);