Create label_encoder.pkl

label_encoder.pkl

@@ -0,0 +1,13 @@
+from sklearn.preprocessing import LabelEncoder
+import pickle
+
+# Sample data
+categories = ['PAYMENT', 'TRANSFER', 'CASH_OUT', 'DEBIT', 'CASH_IN', 'Yes', 'No']
+
+# Initialize and fit the LabelEncoder
+le = LabelEncoder()
+le.fit(categories)
+
+# Save the fitted LabelEncoder to a pickle file
+with open('label_encoder.pkl', 'wb') as f:
+    pickle.dump(le, f)