Grouped partial-dependence profiles does not work with dummy variables

[pbiecek]

see this one: pbiecek/ema#43

I was trying to use Grouped partial-dependence profiles model_profile() function in python, but unfortunately, it cannot handle as grouping variables floats/integers. The problem is that most RF/Logit models cannot handle text data, therefore variables need to encoded as integers (eg: out of the variable gender, I create gender_female with values 0,1). So when I try to apply your aggregated function, I keep getting this error:

sequence item 0: expected str instance, int found

Can you transform variables with n<10 categories into strings to be able to get aggregated results for categorical variables? Or just allow integers if for example n_cat<10?

[hbaniecki]

I tested it with float and int variables, so it should be fixed.