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.
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.
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.