add

app.py

@@ -34,17 +34,13 @@ async def predict_and_add(data: dict):
     bagemann_scaled = scaler_bagemann.transform(input_bagemann)
     prediction_bagemann = model_bagemann.predict(bagemann_scaled)
     predicted_class_bagemann = int(np.argmax(prediction_bagemann, axis=1)[0])
-    print(input_bagemann)
-    print(scaler_bagemann.mean_)
-    print(scaler_bagemann.scale_)
+
        # Scale and predict
     input_shertmann = np.array([[HB,FR]])
     shertmann_scaled = scaler_shertmann.transform(input_shertmann)
     prediction_shertmann = model_shertmann.predict(shertmann_scaled)
     predicted_class_shertmann = int(np.argmax(prediction_shertmann, axis=1)[0])
-    print(input_shertmann)
-    print(scaler_shertmann.mean_)
-    print(scaler_shertmann.scale_)
+
     # Prepare data to send to /add/data/:id endpoint
     add_data_payload = {
         "kedalaman": depth,