How to assign back categorical variables to train and test data set after testing?
nithinreddyy opened this issue · comments
Hey, MLBox is really good. But I'm unable to convert back or assign back categorical variables after testing to train and test data set. Can you please look into it.
Hello @nithinreddyy, what do you want to do ? I am not sure to understand your point. A feature is automatically converted/detected as categorical or numerical. If there is a mistake (which is very rare), you can try to cast your feature before running MLBox (eg : "2" -> "category2" so that it remains a string and can not be converted as a float)
Hello @nithinreddyy, what do you want to do ? I am not sure to understand your point. A feature is automatically converted/detected as categorical or numerical. If there is a mistake (which is very rare), you can try to cast your feature before running MLBox (eg : "2" -> "category2" so that it remains a string and can not be converted as a float)
That's not the question. The question is mlbox converts categories to numerical right, then after training and testing how to convert those numerical back to categorical? like in sklearn we have inverse_transform right