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Dear Author
Thank you very much for providing this reproduction code of the FAccT20 article.
I would like to ask if there is any mature library or package for %Valid CFs, diversity, proximity, and sparsity evaluation, similar to the sklearn.metrics.
Since I am new to the field of algorithmic recourse, I really don't know how to install the first release of DiCE (v 0.2). So in fact I'm having trouble running this code, and I'm sorry for asking such a slothful question.
Your reply is highly appreciated!
Best regards
The text was updated successfully, but these errors were encountered:
Dear Author
Thank you very much for providing this reproduction code of the FAccT20 article.
I would like to ask if there is any mature library or package for
%Valid CFs, diversity, proximity, and sparsity
evaluation, similar to thesklearn.metrics
.Since I am new to the field of algorithmic recourse, I really don't know how to install the first release of DiCE (v 0.2). So in fact I'm having trouble running this code, and I'm sorry for asking such a slothful question.
Your reply is highly appreciated!
Best regards
The text was updated successfully, but these errors were encountered: