sklearn

# 保存成sklearn自带的文件格式
joblib.dump(logisticRegression, model_local_path)

xgboost

print_title("training model......")
model = xgb.train(plst, dtrain, num_rounds)

print_title("save model")
model_local_path = os.path.join(LOCAL_WORK_DIR, MODEL_NAME)
model.save_model(model_local_path)