Congratulations to all involved :)
On 8 May 2012 09:08, Andreas Mueller wrote:
> Dear all,
> I am happy to announce the 0.11 release of scikit-learn.
>
> This release includes some major new features such as
> randomized sparse models, gradient boosted regression
> trees, label propagation and
Dear all,
I am happy to announce the 0.11 release of scikit-learn.
This release includes some major new features such as
randomized sparse models, gradient boosted regression
trees, label propagation and many more.
The release also has major improvements in the documentation
and in stability.
De
So far the only person who can do it is Fabian because the rights of the files
on the sourceforge account are screwed up.
We will do that after the release, as the final changelog needs to be out.
I'll be back in front of a computer in an hour.
Gael
- Original message -
> Hi everybody.
Good point. I'm no expert in the details of the algorithms per se, but I
wonder how the Apache Mahout folks are doing it using map/reduce. Is
there a data model in scikit that would be suitable for a map/reduce
algorithm approach?
I know ipython can do map/reduce rather easily.
On Mon, 2012-05-07
On 05/07/2012 08:31 PM, Darren Govoni wrote:
> Thanks Andy. I'll look at it and perhaps try to complete it. I think
> scikit and ipython are natural fit in this age of cloud computing.
I think the main question is at which level you want to parallelize.
In my experience it pays most to parallelize
Thanks Andy. I'll look at it and perhaps try to complete it. I think
scikit and ipython are natural fit in this age of cloud computing.
On Mon, 2012-05-07 at 19:37 +0200, Andreas Mueller wrote:
> Hi Darren.
> At the moment, there is built in parallel computation on a single box
> using joblib.
> I
Hi Darren.
At the moment, there is built in parallel computation on a single box
using joblib.
I once used sklearn on a cluster with ipyhon, by modifying joblib
a bit. I haven't worked on that recently and it probably needs some
polish to be useful. It is here:
https://github.com/amueller/joblib/t
Hi,
I just noticed scikit and it looks really powerful.
Is there any support for distributed, parallel computation using iPython
planned or supported?
thanks,
Darren
--
Live Security Virtual Conference
Exclusive live e
Hi everybody.
I was wondering how to update the "stable" website.
I think now (maybe a small windows testing comment) would
be a good time to do so.
Can I do that or does someone else have to do it?
Cheers,
Andy
--
Live
