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.
libpath.py
@StrikerRUS (#4137)is_linear_
to false when it is absent from the model file @shiyu1994 (#4056)file
in readRDS / saveRDS functions @jameslamb (#3664)FindBestThresholdFromHistogram
@guolinke (#2867)leaf_weights
@guolinke (#3148)tree_method
hyper-parameter in xgboost_hist @Shihab-Shahriar (#3296)keep_training_booster
@guolinke (#3275)FindBestThresholdFromHistogram
@guolinke (#2867)leaf_weights
@guolinke (#3148)keep_training_booster
@guolinke (#3275)std::max
from This list of changes was auto generated.
is_unbalance
This list of changes was auto generated.