Dear Dav,
NNMF is indeed widely used and it is already implemented in scikit-learn:
http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html
I was proposing to add the Graph Regularized extension that start to get
attention in genomics, also known as Network Based Stratifica
I mostly just lurk here, but I figure I may be one of few folks who knows
much about the motor control world, where NNMF is highly useful. You can
find a nice motivation of why NNMF is useful here:
https://neurolab.gatech.edu/wp/wp-content/uploads/ting/papers/Ting%20and%20Chvatal%202010.pdf
Basic
Ok, let's wait a little then.
Thanks for your feebacks Gaël and Alex!
Guillaume
On Thu, Nov 13, 2014 at 11:06 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Thu, Nov 13, 2014 at 10:47:52AM +0100, Guillaume Dumas wrote:
> > I thus wanted to first check with core dev team if this
On Thu, Nov 13, 2014 at 10:47:52AM +0100, Guillaume Dumas wrote:
> I thus wanted to first check with core dev team if this feature would
> be useful for scikit-learn, if anybody is already working on it, and if
> not if there are people who may be interested to help me checking and
> adapting the c
Hi Alex,
I just went on this page and it say "highly advised that you contact the
developers on the mailing list (this one)."
Honestly, I read the whole Contributing guidelines but does not feel at
this level of mastering of Python development yet (I have no idea how to do
a correct pull request
Hi,
Is there a generalization of the rand score when one wishes to compare more
than 2 clusterings at the same time? I am trying to see how similar are
the clustering results from multiple different algorithms, and it would
nice to do it this way.
I was thinking, a 'hackish' way of doing it woul
hi Guillaume,
have a look at:
http://scikit-learn.org/stable/developers/index.html
HTH
Alex
On Thu, Nov 13, 2014 at 10:22 AM, Guillaume Dumas
wrote:
> Hi!
>
> I am trying to implement a recent methods of non-negative matrix
> factorization for scikit-learn.
> To date, I adapted the existing s
Hi!
I am trying to implement a recent methods of non-negative matrix
factorization for scikit-learn.
To date, I adapted the existing scikit-learn functions for NNF but would
may be need help to make it pull-able since I am rather new in Python
development.
Here is the iPython notebook showing wher
