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ceml's Issues

LGBM support

Thanks for the great package. Can you please add a support for lgbm package as well?

pip installation fails on Windows

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.

Basic install option

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

How to handle the categorical features?

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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