There was a thread back in April about including some metric learning
algorithms in scikit-learn. (
http://www.mail-archive.com/scikit-learn-general@lists.sourceforge.net/msg06952.html
)

The consensus at that time was to come up with some metric learning code in
a separate project first, to get a sense of what interface to use. John
Collins got started in that direction, but only implemented one algorithm:
https://github.com/johncollins/metric-learn

I've been doing some metric learning work for my research, and I've ended
up with implementations for a few algorithms, which I've put online here:
https://github.com/perimosocordiae/metric_learn

It's not fully up to the quality standards of scikit-learn yet, but it may
be useful as a starting point. Let me know what you think.

-CJ
------------------------------------------------------------------------------
Android is increasing in popularity, but the open development platform that
developers love is also attractive to malware creators. Download this white
paper to learn more about secure code signing practices that can help keep
Android apps secure.
http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to