On 03/03/2015 11:31 AM, Artem wrote:
There was a discussion
<http://www.mail-archive.com/scikit-learn-general@lists.sourceforge.net/msg06931.html>
on metric learning a while ago, and several people expressed interest
to see (and contribute to) it in sklearn. But, it looks like that
attempt didn't get anywhere.
What about a project to add several metric learning algorithms to be
used with KNN (NCA, ITML, LMNN, etc). Another application is data
transformation: most of the methods learn some PSD matrix A, so we can
transform the data by multiplying it by A^{-1/2}.
The starting point could be an ICML tutorial
<http://www.slideshare.net/zukun/metric-learning-icml2010-tutorial> by
Brian Kulis with a field overview.
I agree that this might be interesting :)
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