#定义callback回调 callback=[LGB.early_stopping(stopping_rounds=10,verbose=True), LGB.log_evaluation(period=10,show_stdv=True)] # 训练 train m1 = LGB.train(params,lgb_train,num_boost_round=2000, valid_sets=[lgb_train,lgb_eval],callbacks=callback) #预测数据集 y_pred = m1.predict(X_te...
# Add evaluation log callback if (record) { callbacks <- add.cb(callbacks, cb.record.evaluation()) } # Check for early stopping passed as parameter when adding early stopping callback early_stop <- c("early_stopping_round", "early_stopping_rounds", "early_stopping") if (any...
通过使用Callback API, 可以使用预定义的回调. ): pass def predict( data output_margin=False # bool. 是否输出 raw untransformed margin value ntree_limit=None # int. 预测中的极限树数; 默认值是 best_ntree_limit(如果已定义)(即已经过提前停止训练), 否则为 0(使用所有树). validate_features=True...
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