v_stack = pd.concat([kyc, age, cp_percent, tu_percent, trans_time_count, num_countries, trans_repeats, range_amount, std_amount, trans_min, country_count, outlier_amount, failed_signin], axis=1)
v_stack = self.encode(v_stack)
v_stack = v_stack.fillna(0)
return v_stack
if __name__ == "__main__":
engine = create_engine(conn_str, echo=False)
session = sessionmaker()
session.configure(bind=engine)
from features import Features
features = Features(session)
user_df = features.get_users()
trans_df = features.get_transactions()
print('Creating Features...')
#Create features and store them
feature_df = features.create()
labels = user_df['is_fraudster'] * 1
labels = labels[feature_df.index]
print('Saving Features...')
all_data = pd.concat([feature_df, labels], axis=1)
pickle.dump(all_data, open('features.pck','wb') )
print('Done.')
