Update train_model.py

train_model.py

@@ -5,6 +5,13 @@ from sklearn.metrics import mean_absolute_error, mean_absolute_percentage_error,
 import joblib
 
 def train_and_save_model(data_path='palm_oil.xlsx', output_path='static/model/model.pkl'):
+    """
+    Train a linear regression model on palm oil price data and save it.
+    
+    Args:
+        data_path (str): Path to the Excel file containing palm oil data
+        output_path (str): Path to save the trained model
+    """
     # Load data
     df = pd.read_excel(data_path)
     df['date'] = pd.to_datetime(df['date'])