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 recent addition (2016), added 3 years after the scikit-multilearn library was started. 

wt., 26 cze 2018 o 19:40 użytkownik Fernando Marcos Wittmann <fernando.wittmann@gmail.com> napisał:

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 <zephyr14@gmail.com> wrote:

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,

Yours

Vlad

On Tue, Jun 26, 2018, 11:04 aijaz qazi <aqsdmcet@gmail.com> wrote:

Dear developer ,

I am working on web page categorization  with http://scikit.ml/ .

Question: I am not able to execute MLkNN code on the link  http://scikit.ml/api/classify.html. I have installed py 3.6.

I found scipy versions not compatible with scikit.ml 0.0.5.

Which version of scipy would work with scikit.ml 0.0.5.

Kindly let me know. I will be grateful.

Regards,

Aijaz A.Qazi  

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Fernando Marcos Wittmann

MS Student - Energy Systems Dept. 

School of Electrical and Computer Engineering, FEEC

University of Campinas, UNICAMP, Brazil

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