Replaced np.int and np.bool

Author: namanmistry

mlxtend/evaluate/bias_variance_decomp.py

@@ -144,7 +144,7 @@ def bias_variance_decomp(
         var = np.zeros(pred.shape)
 
         for pred in all_pred:
-            var += (pred != main_predictions).astype(np.int)
+            var += (pred != main_predictions).astype(np.int_)
         var /= num_rounds
 
         avg_var = var.sum() / y_test.shape[0]

mlxtend/evaluate/holdout.py

@@ -164,7 +164,7 @@ def split(self, X, y, groups=None):
         """
 
         ind = np.arange(X.shape[0])
-        train_mask = np.ones(X.shape[0], dtype=np.bool)
+        train_mask = np.ones(X.shape[0], dtype=np.bool_)
         train_mask[self.valid_indices] = False
         valid_mask = np.where(train_mask, False, True)