Open Yannahhh opened 2 years ago
That is correct, we are working on this but for now if you want to use categorical variables you'll have to first one-hot encode them.
I was trying BoostedRulesClassifier for categorical labels. It does not work even after one hot. I assume this only supports Binary Classification. One can use one hot but only for input features.
Good point! You are correct my above comment was about categorial feature variables which an be used with one-hot encoding.
Most of the models here only support binary classification (see this table) for details.
Is there anyone which supports multi-class classification? I can see binary classification and regression. Do you plan to add multi-class support ?
We do plan to add it although it may not be for another month - RuleFit, SLIM, FIGS, and HSTree (among others) should easily support multi-class, but we haven't been testing it so there may be an issue when using them for the multi-class setting.
Thanks for the prompt response.
@paularindam FIGS just received categorical support in https://github.com/csinva/imodels/pull/151
It seems that this package does not support categorical variables? Right?