Handle_unknown in OneHotEncoder (FAMD) method about prince HOT 5 CLOSED

Hello! I would like to mention that it would be nice to include this parameter for MCE just as you did for FAMD since it uses encodes categorical features aswell. It will have to be rewritten a little since as I see it uses pd.get_dummies instead of OneHotEncoder. I wish I could fork and rewrite it by myself, but I don't have so much time at the moment :(

from prince.

Hey! So you would essentially like to control the handle_unknown parameter of the OneHotEncoder? The parameters I see there are {‘error’, ‘ignore’, ‘infrequent_if_exist’}, but not substitute.

from prince.

Yes, it would make it easier when dealing with continuous streaming of data with high dimensionality (so new values for certain variables are coming infrequently, so they raise errors and exit the computations).
I hope this is clear
Thanks

from prince.

Ok I've added a handle_unknown parameter to FAMD, that will be fed to OneHotEncoder. It's available in version 0.10.4 :)

from prince.

Hey @TalkativeGuy. Actually, for MCA, it's valid to pass columns and column values which were not seen before. Do you have an example/usecase in mind?

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