Hey folks !
Hope you're all doing well.
I'm developing Random Fourier Feature implementation in c++ for a
repository. Scikits implementation on RBFSampler has been really helpful,
and I must say that I'm charmed but how compact, yet powerful each line of
code is.
I'm writing this mail because I c
Thank you for the link, Guilaumme. In my particular case, I am working on
random forest classification.
The notebook seems great. I will have to go through it in detail. I'm still
fairly new at using sklearn.
Thank you for everyone's quick response, always feeling loved on here! :)
On Fri, May
OrdinalEncoder is the equivalent of pd.factorize and will work in the
scikit-learn ecosystem.
However, be aware that you should not just swap OneHotEncoder to
OrdinalEncoder just at your wish.
It depends of your machine learning pipeline.
As mentioned by Gael, tree-based algorithm will be fine wi
