Re:Yandex open sources CatBoost, a gradient boosting ML library
by s0ulmate on Tuesday July 18, 2017 @11:27AM
(#14797261)
Hey! CatBoost team here.
Yes, stacking different gradient boosting algorithms works well on practice. One example is a just finished kaggle-like competition: http://mlbootcamp.ru/round/12/sandbox/
where mpershin stacked CatBoost with LGBM and got the 7th place.
Yes, stacking different gradient boosting algorithms works well on practice. One example is a just finished kaggle-like competition: http://mlbootcamp.ru/round/12/sandbox/ where mpershin stacked CatBoost with LGBM and got the 7th place.
The kernel for this solution can be found in one of our tutorials: https://github.com/catboost/catboost/blob/master/catboost/tu...