Hi, how can I properly handle categorical values in scikit-learn? https://stackoverflow.com/questions/45727934/pandas-categories-new-levels?noredirect=1#comment78424496_45727934
goals - scikit-learn syle fit/transform methods to encode labels of categorical features of X - should handle unseen labels - should be faster than running a label encoder manually for each fold and manually checking if the label already was seen in the training data i.e. what I currently do ( https://stackoverflow.com/questions/45727934/pandas-categories-new-levels?noredirect=1#comment78424496_45727934 which links to https://gist.github.com/geoHeil/5caff5236b4850d673b2c9b0799dc2ce ) - only some columns are categorical, and only these should be converted Regards, Georg
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