anchor
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marcotcr
Code for "High-Precision Model-Agnostic Explanations" paper
Hi there, just wondering if any new tabular dataset has to be defined in utils.py of anchor to work with this code like the adult dataset has been defined? or...
mportError Traceback (most recent call last) [](https://localhost:8080/#) in () 1 import anchor 2 from anchor import util ----> 3 from anchor import anchor_tabular ImportError: cannot import name 'anchor_tabular' from 'anchor'...
Can you please add examples for images? I am sure it will be helpful for many people especially to see the difference between LIME and Anchors. Thank you.
Dear Marco, Thank you for publishing the code! I have tried to use Anchor to explain a RandomForestRegressor, it works with no bug, however it took longer than a RandomForestClassifier...
Hi @marcotcr, whilst browsing the repo I noticed that you've removed the bisection part for computing the upper and lower confidence bounds: https://github.com/marcotcr/anchor/commit/ff0924e6bcaaa7149e2940303cd0b22994112157. The bisection is required to compute the...
``Hi, Thanks for the great contribution. I noticed a comment in the beginning of the method get_anchor_from_tuple() in anchor_base.py, which says: `# TODO: This is wrong, some of the intermediate...
thanks for the excellent job. I have created a dataset where each target variable has a 2D array. The dataset format is the one used by [TSAI](https://github.com/timeseriesAI/tsai/): Considerations about our...
In master for this repo, in anchor_tabular.py, this comment sits at the top of a function near the bottom of the module. It's not a function that obviously has to...
Hello Marco, In the 'Anchor on tabular data.ipynb' example, and also in the SP Anchors example from the anchor-experiments repository, I am not sure if I am misunderstanding this, 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...
