Great! Congratulations to the whole team. [?]
Thanks.
On Sat, Mar 28, 2015 at 3:11 AM, Peter Prettenhofer <
peter.prettenho...@gmail.com> wrote:
> Hurray, great work everybody!
>
> 2015-03-27 19:51 GMT+01:00 Gael Varoquaux :
>
>> Works for me. Could you try refreshing your brower cache (Ctrl Shi
On Sat, Mar 28, 2015 at 9:25 AM, Sturla Molden
wrote:
> Mathieu Blondel wrote:
>
> > What is the best way to detect whether this functionality is available?
> (in
> > order to write code which works with older versions of SciPy too)
>
> To write code that works with earlier versions of SciPy you
Mathieu Blondel wrote:
> What is the best way to detect whether this functionality is available? (in
> order to write code which works with older versions of SciPy too)
To write code that works with earlier versions of SciPy you need to link
with LAPACK. That defeats its purpose.
You can try to
This is really nice. Thanks for the heads up!
What is the best way to detect whether this functionality is available? (in
order to write code which works with older versions of SciPy too)
Is there online documentation yet?
Thanks,
Mathieu
On Sat, Mar 28, 2015 at 12:46 AM, Sturla Molden
wrote:
Hurray, great work everybody!
2015-03-27 19:51 GMT+01:00 Gael Varoquaux :
> Works for me. Could you try refreshing your brower cache (Ctrl Shift R on
> some browsers).
>
> Gaël
>
> On Fri, Mar 27, 2015 at 06:23:06PM +, Jason Sanchez wrote:
> > Update: For me, the stable documentation works, b
Works for me. Could you try refreshing your brower cache (Ctrl Shift R on
some browsers).
Gaël
On Fri, Mar 27, 2015 at 06:23:06PM +, Jason Sanchez wrote:
> Update: For me, the stable documentation works, but the 0.16 documentation
> does not.
> Works:
> http://scikit-learn.org/stable/auto_
Congratulations to everyone involved! Kudos to Andy, Olivier and Joel
for their continuous work these last months :)
On 27 March 2015 at 19:01, Alexandre Gramfort
wrote:
> :beers: !
>
> A
>
> --
> Dive into the World of P
Update: For me, the stable documentation works, but the 0.16 documentation does
not.
Works:
http://scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html
Does not work:
http://scikit-learn.org/0.16/auto_examples/cluster/plot_cluster_comparison.html
I have seen the updated
Thank you, all!
Thanks,
Michael J. Bommarito II, CEO
Bommarito Consulting, LLC
*Web:* http://www.bommaritollc.com
*Mobile:* +1 (646) 450-3387
On Fri, Mar 27, 2015 at 12:33 PM, Vinayak Mehta wrote:
> Cheers!
>
> On Fri, Mar 27, 2015 at 10:02 PM, Kyle Kastner
> wrote:
>
>> Awesome! Congratulatio
:beers: !
A
--
Dive into the World of Parallel Programming The Go Parallel Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekl
Great ! Many thanks to Olivier and Andy !
Best,
Bertrand
- Mail original -
> De: "Gael Varoquaux"
> À: scikit-learn-general@lists.sourceforge.net
> Envoyé: Vendredi 27 Mars 2015 18:22:30
> Objet: Re: [Scikit-learn-general] [ANN] scikit-learn 0.16.0 is out!
>
> Congratulations Olivier an
Awesome !!! Thanks to all who contributed to this release!!
Arnaud
> On 27 Mar 2015, at 18:22, Gael Varoquaux
> wrote:
>
> Congratulations Olivier and the whole team (thanks a lot to Andy for a
> lot of work on the issues and the release.
>
> This is awesome! Releasing and quality assurance
I have seen the updated images both in 0.16 and 0.15, in which 0.16
algorithms has less running time than in 0.15.
Wei
On Fri, Mar 27, 2015 at 1:14 PM, Jason Sanchez <
jason.sanchez.m...@statefarm.com> wrote:
> The documentation for the release does not seem to include any of the
> images. Perh
The documentation for the release does not seem to include any of the images.
Perhaps this is just showing on my end.
Example:
0.16:
http://scikit-learn.org/0.16/auto_examples/cluster/plot_cluster_comparison.html
0.15:
http://scikit-learn.org/0.15/auto_examples/cluster/plot_cluster_comparison.h
Congratulations Olivier and the whole team (thanks a lot to Andy for a
lot of work on the issues and the release.
This is awesome! Releasing and quality assurance that goes with it is so
important for our users. And the changelog is impressive, as so often.
Gaël
On Fri, Mar 27, 2015 at 05:26:52P
Hi all,
Is it possible to return the number of comparisons made by, say, ball
trees (a nearest neighbor object) when searching for the closest query ?
Scikit Ball trees are implemented in Cython so it might require some
work to add a counter to the ball tree code and re-compiling the file.
So
I submitted my final proposal to melange.
Thanks everybody for your suggestions!
Christof
On 20150326 22:51, Andy wrote:
I think you should focus on first creating a prototype without
ParamSklearn.
On 03/26/2015 06:19 PM, Christof Angermueller wrote:
Hi Matthias,
using HPOlib to benchmark
Congratulations team!!
Brilliant work .. I was waiting long for calibration of scores from
classifiers to be integrated..
Once again Congratulations !
On Fri, Mar 27, 2015 at 5:32 PM, Kyle Kastner wrote:
> Awesome! Congratulations all who contributed to this - lots of great stuff.
>
> On Fri, M
Cheers!
On Fri, Mar 27, 2015 at 10:02 PM, Kyle Kastner
wrote:
> Awesome! Congratulations all who contributed to this - lots of great stuff.
>
> On Fri, Mar 27, 2015 at 12:26 PM, Olivier Grisel
> wrote:
> > Release highlights and full changelog available at:
> >
> > http://scikit-learn.org/0.16/
Awesome! Congratulations all who contributed to this - lots of great stuff.
On Fri, Mar 27, 2015 at 12:26 PM, Olivier Grisel
wrote:
> Release highlights and full changelog available at:
>
> http://scikit-learn.org/0.16/whats_new.html
>
> You can grab it from the source here:
>
> https://pypi.pyth
Release highlights and full changelog available at:
http://scikit-learn.org/0.16/whats_new.html
You can grab it from the source here:
https://pypi.python.org/pypi/scikit-learn/0.16.0
Thank you so much to the 160+ people who contributed to this release!
Cheers!
--
Olivier
http://twitter.com/o
João Felipe Santos
wrote:
> ImportError:
> /sb/home/jfsantos/venv/lib/python2.7/site-packages/sklearn/utils/sparsetools/_traversal.so:
> undefined symbol: _intel_fast_memcmp
>
> Does anyone have a workaround for this issue? I tried exporting CC=icc and
> CXX=icpc to force using Intel compilers b
I have revised my proposal to focus only on SMAC and to prioritize SMAC RF
because it can be worked on independently GP.
Thank you for meeting with me in person Vlad, and for giving me feedback on
ways to improve my proposal.
https://github.com/scikit-learn/scikit-learn/wiki/GSoC-2015-Proposal:-G
Thanks to Ian Henriksen, a new Cython API for BLAS and LAPACK is finally
merged in SciPy. It will be included in the next release.
This makes it possible to use SciPy's BLAS and LAPACK from any 3rd party
Cython module without explicitely linking with the libraries. This means
that projects like s
Hi everyone!
I've updated my proposal. I know it's a bit late for asking a review but I
would really appreciate it if you could help me by suggesting new additions
and pointing out mistakes. :) Here's the link:
https://docs.google.com/document/d/1JCbeakBtPTpfis2grw00I8Y1VVivssAdiHlm1ejS3E8/edit?us
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