Adding RMSE - Root Mean Squared Error Loss function for ML Evaluation

Author: Addyk-24

machine_learning/loss_functions.py

@@ -700,7 +700,7 @@ def root_mean_squared_error(y_true, y_pred):
     """
     if len(y_true) != len(y_pred):
         raise ValueError("Input arrays must have the same length.")
-    y_true, y_pred = np.array(y_true), np.array(y_pred)
+    y_true,y_pred = np.array(y_true), np.array(y_pred)
 
     mse = np.mean((y_pred - y_true) ** 2)
     return np.sqrt(mse)