Equivalent method to sklearn's partial_fit?

[ImSo3K]

I wanted to know if its possible to do an incremental / online learning with the category encoders? I have a CSV file that I read in chunks because of its size + I will probably encounter new features in inference time.
Maybe there is a potential workaround?

[PaulWestenthanner]

The encoders do not a partial fit, however most encoders implement strategies for handling new data at predict time. This is done via the handle_unknown parameter. There are several options (raising an error, returning None, return some sensible value). Please check the docs for the encoder you want to use