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. (responding again, after joining list, i'm sorry if anyone got this twice) wt., 26 cze 2018 o 19:59 użytkownik Piotr Szymański <niedakh@gmail.com> napisał:

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:

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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:

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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:

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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 * _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

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Fernando Marcos Wittmann MS Student - Energy Systems Dept. School of Electrical and Computer Engineering, FEEC University of Campinas, UNICAMP, Brazil +55 (19) 987-211302