I am fairly new to the augmentation scene and I have to work with a database where I have, besides numerical columns, two categorical columns and one date column.
I used labelencoder for the date column and onehotencoding for the categorical. If I exclude these columns from scaling, GAN models give some very weird results. None of the labeled columns is my target variable.
Does somebody know of a model that can coöp with this kind of dataset?
Kind regards!
I used labelencoder for the date column and onehotencoding for the categorical. If I exclude these columns from scaling, GAN models give some very weird results. None of the labeled columns is my target variable.
Does somebody know of a model that can coöp with this kind of dataset?
Kind regards!