CatBoost: gradient boosting with categorical features support

Code

• github.com/catboost/catboost
  OfficialIn papernone★ 0
• github.com/Automunge/AutoMunge
  tf★ 164
• github.com/Maxime-Jo/RF-Python
  none★ 0

Abstract

In this paper we present CatBoost, a new open-sourced gradient boosting library that successfully handles categorical features and outperforms existing publicly available implementations of gradient boosting in terms of quality on a set of popular publicly available datasets. The library has a GPU implementation of learning algorithm and a CPU implementation of scoring algorithm, which are significantly faster than other gradient boosting libraries on ensembles of similar sizes.

Tasks

Reproductions