release: version 🚀

HISTORY.md

@@ -2,12 +2,53 @@ Changelog
 =========
 
 
-0.1.2 (2021-08-14)
-------------------
-- Fix release, README and windows CI. [Bruno Rocha]
-- Release: version 0.1.0. [Bruno Rocha]
+(unreleased)
+------------
+- - add metric compute WAPE. [Nguyễn Anh Bình]
+- - add metric compute WAPE. [Nguyễn Anh Bình]
+
+
+0.1.12 (2024-04-17)
+-------------------
+- Bump version to 0.1.12. [maycuatroi]
+- - prune setup.py. [maycuatroi]
+- - update code deploy. [maycuatroi]
+
+
+0.1.11 (2024-04-17)
+-------------------
+- Bump version to 0.1.11. [maycuatroi]
+- Bump version to 0.1.10. [maycuatroi]
+- Bump version to 0.1.9. [maycuatroi]
+- Bump version to 0.1.8. [maycuatroi]
+- Bump version to 0.1.7. [maycuatroi]
+- - update code release. [maycuatroi]
+- Bump version to 0.1.6. [maycuatroi]
+- Bump version to 0.1.5. [maycuatroi]
+- Bump version to 0.1.4. [maycuatroi]
+- Bump version to 0.1.3. [maycuatroi]
+- Bump version to 0.1.2. [maycuatroi]
+- Bump version to 0.1.1. [maycuatroi]
+- - add Ignore. [Binh Nguyen]
+- - Add utils. [Binh Nguyen]
+- - Add metrics AUC, Roc curve. [Binh Nguyen]
+- - add f1 score metric. [Binh Nguyen]
+- - add recall metric. [Binh Nguyen]
+- - add recall metric. [Binh Nguyen]
+- - Add procision metric. [Binh Nguyen]
+- - Fix bug accuracy metric. [Binh Nguyen]
+- - Add metric calculate accuracy. [Binh Nguyen]
+- - Add metric calculate accuracy. [Binh Nguyen]
+- - Skip flake8. [Binh Nguyen]
+- - Skip flake8. [Binh Nguyen]
+- - fix flake8. [Binh Nguyen]
+- - Remove un-used file. [Binh Nguyen]
+- - Update docs. [Binh Nguyen]
+- - update typing - update package name. [Binh Nguyen]
+- - remove wf. [Binh Nguyen]
+- - remove wf. [Binh Nguyen]
+- - First commit. [Binh Nguyen]
+- ✅ Ready to clone and code. [maycuatroi]
+- Initial commit. [Nguyễn Anh Bình]
 
 
-0.1.0 (2021-08-14)
-------------------
-- Add release command. [Bruno Rocha]

evo_science/VERSION

@@ -1 +1 @@
-0.1.12
+

examples/check-wape.py

@@ -0,0 +1,28 @@
+from evo_science.entities.metrics import WAPE
+
+if __name__ == '__main__':
+    import pandas as pd
+    import numpy as np
+
+    # Assuming the WAPE metric is in a module named metrics.py
+
+    # Create a sample DataFrame with true values and predicted values
+    data = {
+        'y_true': [100, 150, 200, 250, 300],
+        'y_pred': [110, 140, 190, 260, 310]
+    }
+
+    df = pd.DataFrame(data)
+
+    # Convert DataFrame columns to numpy arrays
+    y_true = df['y_true'].values
+    y_pred = df['y_pred'].values
+
+    # Initialize WAPE metric
+    wape_metric = WAPE()
+
+    # Calculate WAPE
+    wape_value = wape_metric._calculate_np(y_true, y_pred)
+
+    # Print the result
+    print(f"WAPE: {wape_value:.2f}%")