Hi Ian.
No, we didn't really include questions in this regard.
It seemed to be quite a bit of text mining but other than that, I don't
think
there were any particular areas mentioned.
Cheers,
Andy
On 07/15/2013 01:53 PM, Ian Ozsvald wrote:
> Hi Andreas. I know this thread goes back a little way.
Hi Denzil.
The survey is over ;)
Cheers,
Andy
On 07/15/2013 05:03 PM, Denzil Correa wrote:
Hi Andreas,
What is the link to the survey?
On Fri, Feb 1, 2013 at 11:37 PM, Andreas Mueller
mailto:amuel...@ais.uni-bonn.de>> wrote:
Hey everybody.
A quick status update on the user survey:
I received the confirmation by Jesse that our account is activated. If
you need the credentials for scikit-learn related OSS dev, please send
me a private email and I will send them to you.
Currently there is no limitation on the number of machines we can
provision, so it can be useful for experim
Hi all,
The recently merged new version of the cython code for the KD Tree /
Ball Tree neighbor search requires the numpy buffer interface which
was introduced in NumPy 1.5.
Hence the test do no longer pass on NumPy 1.3
https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-
Hi Andreas,
What is the link to the survey?
On Fri, Feb 1, 2013 at 11:37 PM, Andreas Mueller
wrote:
> Hey everybody.
> A quick status update on the user survey:
>
> I think the number of entries to the user survey is converging (no new
> entries today).
> I think it would be ok to close it afte
2013/7/14 Harshal :
> Thanks for that awesome talk. I have recently started to explore
> scikit-learn and find it pretty amazing.
>
> In that talk you mention that there are many request for having neural
> network and deep learning support. I'm eagerly waiting to get my hands dirty
> on it once av
2013/7/9 Arnaud Joly :
> Is the py3k branch https://github.com/scikit-learn/scikit-learn/tree/py3k
> still useful?
I had completely forgotten about that one. I picked off the one commit
that was still useful and pushed that to master, then deleted it.
--
Lars Buitinck
Scientific programmer, ILP
Thanks for that awesome talk. I have recently started to explore
scikit-learn and find it pretty amazing.
In that talk you mention that there are many request for having neural
network and deep learning support. I'm eagerly waiting to get my hands
dirty on it once available.
Thanks,
Harshal
On Ju
Is the py3k branch https://github.com/scikit-learn/scikit-learn/tree/py3k
still useful?
Arnaud
On 09 Jul 2013, at 16:26, Olivier Grisel wrote:
> The REAMDE-Py3k.rst was not reflecting the current situation. I just
> updated it. We don't use 2to3 anymore but a single code base with
> helpers in
The 0.13.X version of scikit-learn doesn't support grid search
with an aux score. In the master branch, this is possible
thanks to Andreas (see https://github.com/scikit-learn/scikit-learn/pull/1381)
However, there is still work in progress on this subject
see https://github.com/scikit-learn/sci
Hi, I'd like to improve ICA as discussed in #2113.
Also I'd like to inquire memory behavior of the decomposition classes to better
support their combined application on bog data sets with more than 100k samples.
Also I'd like to take a look at API inconsistencies between those classes, e.g
with r
Hi everyone,
Here are some information about the sprint and Paris in general, in 4
points:
1. Traveling in paris: tickets and costs
2. Direction to the venue
3. Ethernet cables
4. My contact information.
*1. Traveling in Paris: tickets and costs*
The easiest way to go from one point to ano
Hi Andreas. I know this thread goes back a little way...do you
remember if any of the feedback you got in the survey indicates the
type of problems that people are solving with scikit-learn? E.g. NLP
for classification, recommendation in ecommerce (two examples I'm
familiar with here in London)? Pe
2013/7/14 Lars Buitinck :
> 2013/7/12 Olivier Grisel :
>> 2013/7/12 Lars Buitinck :
>>> 2013/7/12 Antonio Manuel MacĂas Ojeda :
>>> Pretty good results actually. I was clustering these words to get
>>> extra features for a NER tagger, which immediately got a boost in F1
>>> score.
>>
>> Interesting
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