Update utils/preprocessing.py

utils/preprocessing.py

@@ -2,22 +2,13 @@ import pandas as pd
 from sklearn.ensemble import IsolationForest
 
 def clean_data(file):
-    """
-    Bersihkan data UMKM dari anomaly (outlier).
-    Contoh input: File CSV dengan kolom: tanggal, demand, supply
-    """
-    # Baca data
     df = pd.read_csv(file)
     
     # Konversi tanggal
     df['tanggal'] = pd.to_datetime(df['tanggal'])
     
     # Deteksi anomaly
-    clf = IsolationForest(contamination=0.05, random_state=42)
+    clf = IsolationForest(contamination=0.05)
     df['anomaly'] = clf.fit_predict(df[['demand', 'supply']])
     
-    # Filter data bersih
-    clean_df = df[df['anomaly'] == 1].copy()
-    clean_df.drop('anomaly', axis=1, inplace=True)
-    
-    return clean_df
+    return df[df['anomaly'] == 1].drop('anomaly', axis=1)