can you please also upload it to melange?
On 03/22/2015 08:52 PM, Raghav R V wrote:
2 things :
* The subject should have been "Multiple Metric Support in grid_search
and cross_validation modules and other general improvements" and not
multiple metric learning! Sorry for that!
* The link was not available due to the trailing "." (dot), which has
been fixed now!
Thanks
R
On Mon, Mar 23, 2015 at 5:47 AM, Raghav R V <rag...@gmail.com
<mailto:rag...@gmail.com>> wrote:
1. the link is broken
Ah! Sorry :) -
https://github.com/scikit-learn/scikit-learn/wiki/GSoC-2015-Proposal:-Multiple-metric-support-for-CV-and-grid_search-and-other-general-improvements.
2. that sounds quite difficult and unfortunately conducive to
cheating
Hmm... Should I then simply opt for adding more examples then?
On Sun, Mar 22, 2015 at 7:57 PM, Raghav R V <rag...@gmail.com
<mailto:rag...@gmail.com>> wrote:
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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