奇哥AI财经
奇哥AI财经
Normally,it is essential for the bins besides missing to be monotonically increasing or decreasing on the badrate for better explainability. For exmple, the bigger a certain feature X1,the better chance...
您好: 如题 IDice和Apriori似乎不是精准匹配这个问题,把这两个用过来似乎是不是需要一些特殊技巧; R-Adtributer按照原本他论文的方法不太容易得出形如A,B数据集这种形式的结果; HotSpot好像没有开源; 这些都在Squeeze论文里面计算出来了在A,B数据集上的f1-score。 请问下可否分享一下实现方式,或者开放代码。
First, thanks for your great work and kindly open source to the public community! I have a dataset that contains various characters of a specific game. Obviously, these game characters...
在新增知识库问答里面上传了一个.txt文档,然后问答,后台看到是定位到了这个.txt里的文章.也生成相应prompt传到了llm,但是llm的回答就是原生的回答。
``` import torch.nn as nn class SegmentEmbedding(nn.Embedding): def __init__(self, embed_size=512): super().__init__(3, embed_size, padding_idx=0) ``` This is the source code. First idx is padding, thus only 2 segment is supported. Why...
Only dataframe object is supported for the "fit" method ``` xgbse_model = XGBSEKaplanTree(PARAMS_TREE) # X = xgb.DMatrix(X, enable_categorical=True) xgbse_model.fit(X, y) ``` but enable_categorical is not set "True" in the source...