Chen Zihao
Chen Zihao
Just shifted from that original Anchor implementation (implemented by paper's author), encounted a problem so wonder if it is exist in this implementation too. My features had been encoded into...
I mean, the des method does not improve or even worse in the indicators run by my data set.
克隆到本地安装后,运行HereWeGo.py程序报错。
I want use LIME to interprete classifiers trained by nimbusml, this package has also a `predict_proba` function which LIME needs( the usage basically the same from my simple experiment) but...
My dataset has already binarization into one-hot format, like features:['loan_amount=500'] with values [[0,1],[1,0],[0,1]]. So the anchor we expected should be like: "loan_amount=500=**1**" However, when i ran the algorithm, it showed...
 I clone the repository and run "Anchor on tabular data.ipynb" and occure this error comment this two line like:  then everything goes well.
Text、tabular data、image, I have no idea how to perturb different data format specifically, and seems there is no explicit mention in paper.