GBDT_Simple_Tutorial icon indicating copy to clipboard operation
GBDT_Simple_Tutorial copied to clipboard

python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on py...

Results 5 GBDT_Simple_Tutorial issues
Sort by recently updated
recently updated
newest added

请问如何保存模型到本地,并读取呢

多分类数据集中为啥其中两个一样的数据: [4, 30, 60, 1], [5, 30, 60, 2] 被分为不同类别

请问训练数据和测试数据从哪获取呢

你好,个人认为,BinomialDeviance损失函数中,计算loss的公式有问题,类似于sklearn包中的损失计算,此处的正确的公式应该是:-2.0(y*f - log(1 + exp(f))),代码中是-2.0(y*f - (1 + exp(f)))