--- a
+++ b/Generation/utils/metrics.py
@@ -0,0 +1,41 @@
+import numpy as np
+
+
+def RSE(pred, true):
+    return np.sqrt(np.sum((true - pred) ** 2)) / np.sqrt(np.sum((true - true.mean()) ** 2))
+
+
+def CORR(pred, true):
+    u = ((true - true.mean(0)) * (pred - pred.mean(0))).sum(0)
+    d = np.sqrt(((true - true.mean(0)) ** 2 * (pred - pred.mean(0)) ** 2).sum(0))
+    return (u / d).mean(-1)
+
+
+def MAE(pred, true):
+    return np.mean(np.abs(pred - true))
+
+
+def MSE(pred, true):
+    return np.mean((pred - true) ** 2)
+
+
+def RMSE(pred, true):
+    return np.sqrt(MSE(pred, true))
+
+
+def MAPE(pred, true):
+    return np.mean(np.abs((pred - true) / true))
+
+
+def MSPE(pred, true):
+    return np.mean(np.square((pred - true) / true))
+
+
+def metric(pred, true):
+    mae = MAE(pred, true)
+    mse = MSE(pred, true)
+    rmse = RMSE(pred, true)
+    mape = MAPE(pred, true)
+    mspe = MSPE(pred, true)
+
+    return mae, mse, rmse, mape, mspe