I have pushed all fixes requested by other participants on my pull request.
On Fri, Jul 26, 2013 at 3:30 PM, Joseph Turian wrote:
> Can I get my feature into this version?
> https://github.com/scikit-learn/scikit-learn/pull/2176
>
> I was going to push fixes this weekend, to address everyone's
Hi,
I've got a branch which is ready for merge; I didn't see it on the list.
I think it has been approved:
https://github.com/scikit-learn/scikit-learn/pull/1611
If I'm mistaken and it needs some sort of papal blessing, that's cool too.
thanks,
-John
On Jul 25, 2013, at 3:49 AM, Andreas Muel
Hi experts,
Thank you very much for your quick reply on this. I encountered another
error when going through
the tutorial noted here:
http://scikit-learn.github.io/scikit-learn-tutorial/working_with_text_data.html
>>> from sklearn.datasets import fetch_20newsgroups
>>> twenty_train = fetch_20new
2013/7/27 Vlad Niculae :
> Only the current development version, and the upcoming release, has,
> as of recently, support for Python 3. Even so, it won't be easy to
> support 3.2, we just aim for 3.3 at the moment.
> This being said, I have no idea what causes this specific error. That
> line seem
Can I get my feature into this version?
https://github.com/scikit-learn/scikit-learn/pull/2176
I was going to push fixes this weekend, to address everyone's comments.
On Thu, Jul 25, 2013 at 8:40 AM, Lars Buitinck wrote:
> 2013/7/25 Jacob Vanderplas :
>> On Thu, Jul 25, 2013 at 7:44 AM, Andrea
Hi Harold,
Only the current development version, and the upcoming release, has,
as of recently, support for Python 3. Even so, it won't be easy to
support 3.2, we just aim for 3.3 at the moment.
This being said, I have no idea what causes this specific error. That
line seems unchanged in the curr
Hi again,
After updating scikit-learn (I think I was running that script from the
newest version of scikit-learn, while my installed version was older), I get
the following error:
$ python document_classification_20newsgroups.py
Traceback (most recent call last):
File "document_classification_2
Hi experts,
I was going through the example here:
http://scikit-learn.org/stable/auto_examples/document_classification_20newsgroups.html#example-document-classification-20newsgroups-py
But when I run, I get the following error message:
$ python document_classification_20newsgroups.py --top20
..
Now there are still many errors / failures (around 40) so I did not
put the email notifications yet:
https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.1-scipy-0.11.0-windows7-64bit/
Please feel free to send fixes as PRs :)
--
Olivier
http://twitter.com/ogrisel - http://gi
2013/7/26 Michal Romaniuk :
> Working with the debugger, here is what's happening:
>
> param1 and param2 are both numpy object arrays (containing numerical
> arrays). So param1.flat[0] gives an array and param2.flat[0] also gives
> an array. And numpy seems to consider equality of two arrays ambigu
Working with the debugger, here is what's happening:
param1 and param2 are both numpy object arrays (containing numerical
arrays). So param1.flat[0] gives an array and param2.flat[0] also gives
an array. And numpy seems to consider equality of two arrays ambiguous.
Michal
On 26/07/13 16:26, Andr
2013/7/26 Michal Romaniuk :
> I think that this could be because one of the parameters of __init__ is
> a numpy array of objects, containing numeric numpy arrays.
>
> Do you think I could just use Python's copy library in place of clone?
The difference between clone and copy is that clone does not
On 07/26/2013 05:15 PM, Michal Romaniuk wrote:
> So I followed the advice from Andreas but now I get this error when
> calling clone:
>
> PATH/scikit-learn/sklearn/base.pyc in clone(estimator, safe)
> 66 and param1.dtype == param2.dtype
> 67 # We
So I followed the advice from Andreas but now I get this error when
calling clone:
PATH/scikit-learn/sklearn/base.pyc in clone(estimator, safe)
66 and param1.dtype == param2.dtype
67 # We have to use '.flat' for 2D arrays
---> 68
Hi everyone,
As you may know, we are changing venue tomorrow. tinyclues is hosting the
sprint at:
15, rue du Caire
75002
For those of you who are traveling from Télécom,
take line 6 to Denfert-Rochereau,
and then line 4 to Réaumur-Sebastopol.
It's an old parisian building: you'll need to ring at
I talked about using vagrant to automatically setup a development
environment with both python 2 / 3 with other sprint.
I pushed my own setup as a github repo with a README.md file to
quickly get started if you are interested:
https://github.com/ogrisel/my-linux-devbox/
--
Olivier
http://twitt
On 07/26/2013 10:01 AM, Lars Buitinck wrote:
> 2013/7/26 Andreas Mueller :
>> If you are ok with relying on scikit-learn, you can inherit from
>> BaseEstimator and ClassifierMixin, then implement fit, predict and
>> __init__ (to set the parameters).
> We could add some code skeletons to that, like
2013/7/26 Andreas Mueller :
> If you are ok with relying on scikit-learn, you can inherit from
> BaseEstimator and ClassifierMixin, then implement fit, predict and
> __init__ (to set the parameters).
We could add some code skeletons to that, like
class MajorityClassifier(BaseEstimator, Classifier
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