File "simple_example.py", line 4, in <module> import lightgbm as lgb File "D:\Python27\lib\site-packages\lightgbm-0.1-py2.7.egg\lightgbm\__init__.p y", line 9, in <module> from .basic import Dataset, Booster File "D:\Python27\lib\site-packages\lightgbm-0.1-py2.7.egg\lightgbm\ba...
ngboost = ngb.fit(np.asarray(tr.drop(['SalePrice'],1)), np.asarray(tr.SalePrice)) y_pred_ngb = pd.DataFrame(ngb.predict(te.drop(['SalePrice'],1))) 对LightGBM 和 XGBoost 也做一样的事情: # LightGBM ltr = lgb.Dataset(tr.drop(['SalePrice'],1),label=tr['SalePrice']) param ...