Hi folks,
Just for letting you know, my talk Accelerating Random Forests in
Scikit-Learn was approved for EuroScipy'14. Details can be found at
https://www.euroscipy.org/2014/schedule/presentation/9/.
My slides are far from being ready, but my intention is to present our
team efforts on the tree
This is great news, congratulations Gilles!
Cheers,
Vlad
On May 22, 2014 8:15 AM, Gilles Louppe g.lou...@gmail.com wrote:
Hi folks,
Just for letting you know, my talk Accelerating Random Forests in
Scikit-Learn was approved for EuroScipy'14. Details can be found at
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 zephy...@gmail.com:
This is great news, congratulations Gilles!
Cheers,
Vlad
On May 22, 2014 8:15 AM, Gilles Louppe
Congratulation ! :-)
Cheers,
Arnaud
On 22 May 2014, at 10:50, Peter Prettenhofer peter.prettenho...@gmail.com
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
2014-05-21 14:08 GMT+02:00 Lars Buitinck larsm...@gmail.com:
2014-05-21 13:59 GMT+02:00 Sergio Pascual sergio.pa...@gmail.com:
This is the patch we use in fedora to compile scikit-learn 0.14.1 with
system cblas
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
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
can you send a PR and use github to report
issues? it's easier to track compared to an email...
thanks
A
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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
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
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
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