Introduction to MS LightGBM algorithm

Source: https://www.slideshare.net/MailRuGroup/dm-labs-opendatascience-kagglestyle

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft. 

This algorithm won several Kaggle challenges in 2017 & 2018. Run faster and with less RAM than XGBOOST.


https://github.com/Microsoft/LightGBM

https://lightgbm.readthedocs.io/en/latest/