Thanks Maheshakya, good work (already!)
On 22 May 2014 05:51, Maheshakya Wijewardena wrote:
> Hi,
> I have been continuously communicating with my mentors, but it's important
> that all others should also know what I have been doing. I have done some
> blog posts regarding this.
> blog site: ht
Hi Stelios,
Thanks for your interest. We had a survey recently of features people would
like to see:
https://www.mail-archive.com/scikit-learn-general%40lists.sourceforge.net/msg05970.html
Take a look at that, and see if anything peeks your interest. Make sure to
check with the mailing list before
Hi Eric,
My GSoC 2014 project requires me to finalize the "vanilla feed-forward
net" by next week. Here is the pull-request,
https://github.com/scikit-learn/scikit-learn/pull/2120
The code only needs a final review and the I am working on completing
the documentation.
Thanks.
--Issam
On
Saw about that about a month ago that there were plans for a vanilla
feed-forward net.
Was wonder what the status of that was. I've implemented one in Julia
recently and have been keen on porting it to python.
--
Eric Chiang
Software Engineer, Yhat, Inc.
@erchiang
---
can you send a PR and use github to report
issues? it's easier to track compared to an email...
thanks
A
--
"Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
Instantly run your Selenium tests across 3
Hi,
I followed documentation for digit recognition, as I was hoping for
something better then OCR with minimal involvement from my side.
Here is example:
http://nbviewer.ipython.org/gist/klonuo/8738685d0e5a8aa0
So I'm feeding the classifier with my own data compliant to format it
expects and
This looks like it would fix the issue with autochosen n_nonzero_coefs -
which is great! After reading the paper mentioned in the docstring, I can
see where the Gram matrix calculation is coming from now, but I think the
check
if tol is None and n_nonzero_coefs > len(Gram):
raise ValueErr
2014-05-21 14:08 GMT+02:00 Lars Buitinck :
> 2014-05-21 13:59 GMT+02:00 Sergio Pascual :
> > This is the patch we use in fedora to compile scikit-learn 0.14.1 with
> > system cblas
> >
> >
> http://pkgs.fedoraproject.org/cgit/python-scikit-learn.git/tree/sklearn-unbundle-cblas.patch
>
> But the bu
Congratulation ! :-)
Cheers,
Arnaud
On 22 May 2014, at 10:50, Peter Prettenhofer
wrote:
> congrats Gilles -- looking forward to your talk -- you should definitely make
> a blog post from your material (and benchmarks)!
>
>
> 2014-05-22 8:50 GMT+02:00 Vlad Niculae :
> This is great news, c
congrats Gilles -- looking forward to your talk -- you should definitely
make a blog post from your material (and benchmarks)!
2014-05-22 8:50 GMT+02:00 Vlad Niculae :
> This is great news, congratulations Gilles!
>
> Cheers,
> Vlad
> On May 22, 2014 8:15 AM, "Gilles Louppe" wrote:
>
>> Hi folk
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