Hi Vinayak.
I was specifically commenting about the self-taught clustering paper
that you mentioned in your email.
Sorry about not being specific.
Best,
Andy
On 03/25/2015 04:01 PM, Vinayak Mehta wrote:
Hi Andy
The idea wiki showed issue #1243 as a reference link which
specifically mentions self-taught learning as a solution for turning
an estimator into a semi-supervised one. So, I tried to base my
proposal on that. Could you guide me on how to focus more on
semi-supervised learning than transfer learning by commenting on
specific places in the doc. :) And maybe provide some points on where
I can improve it as it is somewhat abstract right now I think.
Thanks,
Vinayak
On Thu, Mar 26, 2015 at 1:05 AM, Andreas Mueller <t3k...@gmail.com
<mailto:t3k...@gmail.com>> wrote:
Hi Vinayak.
That looks more like a transfer-learning task and I'm not sure how
that a) tie into the project b) work with the sklearn API.
So I'd be -1 on that.
Cheers,
Andy
On 03/25/2015 04:16 AM, Vinayak Mehta wrote:
Hi everyone!
I've added my proposal to the wiki page. Please suggest
improvements. Here is a link to the Google doc:
https://docs.google.com/document/d/1JCbeakBtPTpfis2grw00I8Y1VVivssAdiHlm1ejS3E8/edit?usp=sharing
Further, I want to discuss on if this ->
http://www.machinelearning.org/archive/icml2008/papers/432.pdf
could be added to my proposal.
Thanks,
Vinayak
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