Hi,
I have been using Scikit-learn One hot encoder for data encoding and the
resulting array supports only for a few models such as logistic regression,
SVC, etc. When I convert those sparse matrices with list comprehension or
toarray() function to dense matrices, resulting arrays become too large for
those classifiers such as Decision trees or any other tree based
classifier.
I saw a GSOC project idea of implementing this as mentioned here.
https://github.com/scikit-learn/scikit-learn/wiki/Google-summer-of-code-(GSOC)-2014
I'm looking forward to apply for GSOC this year as well, so I would like
start working on this. From where can I get support for this. (There're no
possible mentors assigned for this)
Regards,
Maheshakya
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