Implemented shuffle parameter in preprocessing; shuffled validation data in model_training.py

source/preprocess.py

@@ -534,13 +534,19 @@ class table_dict(dict):
                 X_test = X_test * g.reshape(1, window_size, 1)
 
             if shuffle:
-                X_train = np.random.choice(X_train, X_train.shape[0], replace=False)
-                X_test = np.random.choice(X_test, X_test.shape[0], replace=False)
+                X_train = X_train[
+                    np.random.choice(X_train.shape[0], X_train.shape[0], replace=False)
+                ]
+                X_test = X_test[
+                    np.random.choice(X_test.shape[0], X_test.shape[0], replace=False)
+                ]
 
             return X_train, X_test
 
         if shuffle:
-            X_train = np.random.choice(X_train, X_train.shape[0], replace=False)
+            X_train = X_train[
+                np.random.choice(X_train.shape[0], X_train.shape[0], replace=False)
+            ]
 
         return X_train