Hi,Some time ago I made a PR on the K-SVD algorithm, but it didn't made to a commit.Now I have time to work on this once again, so I am asking for some reviews on the code.The link to the PR: https://github.com/scikit-learn/scikit-learn/pull/3739--Alexey Umnov
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Hi, The work on the K-SVD implementation is mostly finished, so I wanted to ask you for comments and review.Here is the PR: https://github.com/scikit-learn/scikit-learn/pull/3739--Alexey Umnov
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On Sun, Oct 05, 2014 at 09:48:56PM +0400, Умнов Алексей (Alexey Umnov) wrote:
> 2) Create a pull request with the current changes.
Create a 'WIP' pull request: a pull request that you name with '[WIP]
K-SVD'. WIP stands for 'work in progress'.
G
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Hi, I implemented the K-SVD as a free function and created a small example that uses it.I wanted to ask for some feedback on it before starting polishing the code (also I need your advice on several points). What would be the most convenient way to do it?1) Post it to gist.github.com and send link
Yes, that is reasonable. Thank you! 28.09.2014, 19:45, "Alexandre Gramfort" :hi, I am trying to make the K-SVD implementation consistent with the existing sparse coding algorigthms (dict_learning and orthogonal_mp) and I am a bit confused by the notations. I'll give a summary of the notations and e
hi,
> I am trying to make the K-SVD implementation consistent with the existing
> sparse coding algorigthms (dict_learning and orthogonal_mp) and I am a bit
> confused by the notations. I'll give a summary of the notations and explain
> what I am not understanding.
>
> 1) sklearn.decomposition.dic
Hi, I am trying to make the K-SVD implementation consistent with the existing sparse coding algorigthms (dict_learning and orthogonal_mp) and I am a bit confused by the notations. I'll give a summary of the notations and explain what I am not understanding. 1) sklearn.decomposition.dict_learning Pr
Thanks, the code and the link will be helpful indeed!
Alright, I am starting to work on the subject and will make a PR in some time.
23.09.2014, 16:17, "Kyle Kastner" :
> I started some code here long ago
> (https://gist.github.com/kastnerkyle/8143030) that isn't really
> finished or cleaned up -
I started some code here long ago
(https://gist.github.com/kastnerkyle/8143030) that isn't really
finished or cleaned up - maybe it can give you some ideas/advice for
implementing? I never got a chance to clean this up for PR, and it
doesn't look like I will have time in the near future so your PR
Hi Alexei,
This is a well-known algorithm. I personnally think that it would be
interesting to see it in scikit-learn. Therefor I would definitely
welcome a pull request implementing it.
Cheers,
Gaël
On Tue, Sep 23, 2014 at 02:44:14PM +0400, Умнов Алексей wrote:
> Hello,
> Is there anyone curr
Hello,
Is there anyone currently working on the K-SVD algorithm? If not, I can
implement it, as I need it for my research anyway and there is already a good
Orthogonal Matching Pursuit implementation in the library.
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Alexey Umnov
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