Scikit-multilearn features a larger variety of models, many of which are
still not above the selectiveness threshold of scikit-learn. In general,
scikit-learn implements only three multi-label classifiers -
BinaryRelevance, OneVsRest and ClassifierChains. And generally
sklearn.multioutput is a very
Why there's a library based on Sklearn for multi classification? Sklearn
itself can handle this (
http://scikit-learn.org/stable/modules/multiclass.html)
On Tue, Jun 26, 2018 at 5:08 PM, Vlad Niculae wrote:
> Hi Aijaz,
>
> You're writing to the wrong mailing list. This is the mailing list for
>
Hi Aijaz,
You're writing to the wrong mailing list. This is the mailing list for
scikit-learn, not scikit-multilearn, which is a different and unrelated
project. You're unlikely to get an answer here;
I recommend following the contact information on the scikit-multilearn
website.
Best of luck,
Y
