microsoft / LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
https://lightgbm.readthedocs.io/en/latest/
MIT License
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Understanding top_rate, other_rate wrt goss #1477

Closed nickwan closed 6 years ago

nickwan commented 6 years ago

Was trying to find more documentation on how top_rate and other_rate are used in the goss boosting parameter but didn't seem to find much. How is top_rate and other_rate different from learning_rate?

Tried searching through closed topics but couldn't find any mentions. Perhaps not the best spot for this question (not really an "issue") but unsure where else to ask.

guolinke commented 6 years ago

refer to paper : http://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree.pdf