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License: MIT License
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
License: MIT License
jaxlib==0.1.55 is not available. link for reference https://pypi.org/project/jaxlib/#history
Please upgrade dependency.
Will it be possible to add OneClass SVM to the list of supported sklearn models .
Thanks for the great package. Can you please add a support for lgbm package as well?
Just wondering how CEML goes about computing the actual counterfactuals for the models.
It seems that some dependencies specified won't work on Windows (tried with Windows 10 Pro 21H2, virtualenv, and miniconda). It fails due to Jax-related installations it seems. The dependencies work fine in Ubuntu though (20.04, Miniconda). I think it'd be worth mentioning this.
Hi ,
Sometimes we are using just the sklearn models for counter factuals and there is no need to use the torch dependency. Can we have different modes of installation so that not all libraries gets installed automatically with install_requires
Can CEM support the categorical features?
From the example, we can see both datasets do not include any categorical features.
Could you help answer how to update the one-hot encoded features and convert back to the raw format?
Thanks.
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