} result={} gbm=lgb.train( params, lgb_train, num_boost_round=boost_round, valid_sets=(lgb_train,lgb_eval), valid_names=('validata','train'), early_stopping_rounds=early_stop_rounds, evals_result=result ) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17...
evals_result_ self.feature_importances_ self.feature_name_ self.n_features_ self.n_features_in_ self.objective_ def __init__(): pass def fit(): pass def predict(): pass def get_params(): pass def set_params(): pass 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16...
lightgbm+lr评分模型, 并基于贝叶斯调参方法. Contribute to rickyaimar/lgb-lr-score development by creating an account on GitHub.
record_evals = list(), boosters = list(), initialize = function(x) { self$boosters <- x }, reset_parameter = function(new_params) { for (x in boosters) { x$reset_parameter(new_params) } self } ) ) #' @title Main CV logic for LightGBM #' @description Cross validation...
30 'onsale_days': np.float32}) 31 goodsinfo = pd.read_csv(path+'goodsinfo.csv') 32 33 #转化金额字符为数字 34 goodsale['goods_price'] = goodsale['goods_price'].apply(lambda x: float(str(x).replace(',', ''))) 35 goodsale['orginal_shop_price']...
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. - LightGBM/R-package/R/lgb.cv.R at master · micro