Delete data/preprocessing.py

data/preprocessing.py

@@ -1,23 +0,0 @@
-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)
-    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