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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