Thank you very much @Akai01 for working on the R port of the NGBoost package.
I'm interested in extracting the predicted conditional distribution parameters of the classification task model that is available on the repository README. Unfortunately, no matter the function I apply (e.g. mean, median, std...) I always get the same error:
Erreur dans py_get_attr_impl(x, name, silent) : AttributeError: 'Categorical' object has no attribute 'mean'
I'm interested in extracting the predicted conditional distribution parameters of the classification task model that is available on the repository README. Unfortunately, no matter the function I apply (e.g. mean, median, std...) I always get the same error:
Erreur dans py_get_attr_impl(x, name, silent) : AttributeError: 'Categorical' object has no attribute 'mean'
Thank you again!!
Originally posted by @frequena in https://github.com/Akai01/ngboost/issues/1#issuecomment-1279194351