Chandan Singh

Hi again! Just checking if there were any updates?

Thanks both for the interest in the package and for raising these issues! 50431c8ec62edd97646fbea968d71e964262761f adds code to raise an Error explaining that multiclass is not supported for RuleFitClassifier during fitting....

Same here

Thanks @mglowacki100! I agee I think one-hot encoding is the best way to go for now. That feature engineering is performed by `autogluon` not `imodels`. There isn't currently support for...

Thanks, I think one-hot encoding categorical variables is a decent solution, as it should atleast preserve interpretability.

Thanks, this is a nice fix! I'll work on making it so that it displays like this if the feature is continuous-valued and keeps the original behavior for non-continuous features....

Also interested in this!

Worked okay when I just lowered the learning rate / switched the optimizer...

If you're looking for any helpers for maintaining this repo, let me know -- I'm keeping up with this area actively and happy to help

Also interested in this! We have been building [imodels](https://github.com/csinva/imodels), a package for interpretable machine-learning and would love to expose some of the bonsai-dt models!