Hi,

1. This is my proposal for the multiple metric learning project as a wiki
page  -
https://github.com/scikit-learn/scikit-learn/wiki/GSoC-2015-Proposal:-Multiple-metric-support-for-CV-and-grid_search-and-other-general-improvements
.

Possible mentors : Andreas Mueller (amueller) and Joel Nothman (jnothman)

  Any feedback/suggestions/additions/deletions would be awesome. :)

2. Given that there is a huge interest among students in learning about ML,
do you think it would be within the scope of/beneficial to skl to have all
the exercises and/or concepts, from a good quality book (ESL / PRML /
Murphy) or an academic course like NG's CS229 (not the less rigorous
coursera version), implemented using sklearn? Or perhaps we could instead
enhance our tutorials and examples, to be a self study guide to learn about
ML?
I have included this in my GSoC proposal but was not quite sure if this
would be an useful idea!!

Or would it be better if I simply add more examples?

Please let me know your views!!

Thanks


R
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