- add metric compute WAPE

Author: maycuatroi

evo_science/entities/metrics/wape.py

@@ -0,0 +1,27 @@
+import numpy as np
+
+from evo_science.entities.metrics import BaseMetric
+
+
+class WAPE(BaseMetric):
+    """
+    WAPE (Weighted Absolute Percentage Error) is a metric used to measure the accuracy of a forecasting model.
+    It is calculated as the ratio of the sum of absolute errors to the sum of actual values, multiplied by 100.
+
+    Formula:
+    WAPE = (sum(|y_true - y_pred|) / sum(y_true)) * 100
+    """
+    name = "WAPE"
+
+    def _calculate_np(self, y_true: np.array, y_pred: np.array):
+        """
+        Calculate WAPE using numpy arrays.
+        """
+        absolute_errors = np.abs(y_true - y_pred)
+        sum_absolute_errors = np.sum(absolute_errors)
+        sum_actual_values = np.sum(y_true)
+        wape = (sum_absolute_errors / sum_actual_values) * 100
+        return wape
+
+
+