On Mon, Jul 29, 2013 at 11:33:51AM +0900, Mathieu Blondel wrote:
> The homepage looks awesome. IMO, the other pages would look better if the
> background color of the left and right margins was blue.
:). I think that this is a good illustration that the 'prettiness' of a
website is very subjective
On Sun, Jul 28, 2013 at 11:00:23PM -0400, Ronnie Ghose wrote:
> ok then; for the next version can pages like http://scikit-learn.org/dev/
> model_selection.html#model-selection have an index that shows 3.1, 3.2 ... in
> the under the 3 on the left like when you go to http://scikit-learn.org/dev/
>
On 29 July 2013 13:31, Joel Nothman wrote:
> The calling FeatureHasher.transform() method calls
> csr_matrix.sum_duplicates on the output which will produce that
> accumulation.
> - Joel
>
Great, thanks!
--
See everythin
The calling FeatureHasher.transform() method calls
csr_matrix.sum_duplicates on the output which will produce that
accumulation.
- Joel
On Mon, Jul 29, 2013 at 1:22 PM, Gad Abraham wrote:
>
>
> On 11 July 2013 18:33, Lars Buitinck wrote:
>
>> 2013/7/11 Gad Abraham :
>> > I'm very much a sklear
On 11 July 2013 18:33, Lars Buitinck wrote:
> 2013/7/11 Gad Abraham :
> > I'm very much a sklearn beginner, and I'd like to use FeatureHasher to
> > reduce the dimensionality of a numeric matrix. Any hints on how to do
> this?
> > I've seen the examples showing how to use it with text.
>
> You me
ok then; for the next version can pages like
http://scikit-learn.org/dev/model_selection.html#model-selection have an
index that shows 3.1, 3.2 ... in the under the 3 on the left like when you
go to http://scikit-learn.org/dev/modules/grid_search.html and it shows for
3.2.1, 3.2.2, ...
On Sun, J
Isn't that only on the useguide and sub toctree pages? They show on actual
narrative pages though. I'm not sure I understand what you mean
2013/7/29 Ronnie Ghose
> *i might have misunderstood - i thought i changed that ...
>
>
> On Sun, Jul 28, 2013 at 10:39 PM, Ronnie Ghose wrote:
>
>> so it m
*i might have misunderstood - i thought i changed that ...
On Sun, Jul 28, 2013 at 10:39 PM, Ronnie Ghose wrote:
> so it might just be misunderstanding .. but it doesn't look like any of
> the indexes generated for some of them on the /dev/ website
>
> e.g.
>
> http://i.imgur.com/Txru4Fd.png
>
>
so it might just be misunderstanding .. but it doesn't look like any of the
indexes generated for some of them on the /dev/ website
e.g.
http://i.imgur.com/Txru4Fd.png
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The homepage looks awesome. IMO, the other pages would look better if the
background color of the left and right margins was blue.
Mathieu
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Hey team,
thanks for being enthousiastic and patient. The RC is out:
https://github.com/scikit-learn/scikit-learn/tree/0.14.X
The branch 0.14.X is open. Let us not push to it without good reasons:
the goal of the RC is to increase quality, not features.
Master is open again for normal developmen
On Sun, Jul 28, 2013 at 08:54:04PM -0400, Josh Wasserstein wrote:
> Thanks - I noticed that dumping a clf with joblib (with either version)
> creates multiple files if the clf has run GridSearchCV (one apparently for
> each
> job in the grid search). Is this expected?
Yes.
> Any way to change t
Thanks - I noticed that dumping a clf with joblib (with either version)
creates multiple files if the clf has run GridSearchCV (one apparently for
each job in the grid search). Is this expected? Any way to change this? As
a reference, If I save my clf with numpy.savez() I only get one file.
Josh
On Sun, Jul 28, 2013 at 08:40:17PM -0400, Josh Wasserstein wrote:
> Say I want to dump my classifier (clf) and a few other Python data structures.
> Is there any difference between:
> import joblib
> and:
> from sklearn.externals import joblib
Not really. You might not be able to reliably loa
Say I want to dump my classifier (clf) and a few other Python data
structures.
Is there any difference between:
import joblib
my_data['clf'] = clf
my_data['other_things'] = other_things
joblib.dump(my_data, my_data)
and:
from sklearn.externals import joblib
my_data['clf'] = clf
my_data['othe
Interesting, I've been using DictVectorizer (and one hot coded categorical
data) with Random Forests and getting decent results. Is this just
coincidental, and will I see better results if I combine the categorical
data into a single column?
On Sun, Jul 28, 2013 at 9:06 AM, Lars Buitinck wrote:
Hi developers,
We have to leave the sprint (and for a few core devs do a bit of social
with our better halves).
To be able to cut an RC, we need to focus on the main bugs and release
critical issues.
I have made a list that I tried to keep tight on the milestone page:
https://github.com/scikit-l
2013/7/28 Oğuz Yarımtepe :
> I had read the scikit preprocessing issues and it seems i shoudl have used
> DictVectoricer to encode my categorical string values after i put them in a
> dict format. But i am not sure how i will use the resulting output at the
> random forest code.
What you get from
Hi,
I am trying to use random forest for my dataset that includes string values
also. The dataset that i used for training is a csv file but includes some
string categorical values also.
I had read the scikit preprocessing issues and it seems i shoudl have used
DictVectoricer to encode my categor
On 07/28/2013 03:07 PM, Lars Buitinck wrote:
> 2013/7/28 Andreas Mueller :
>>> Maybe you need to install pyamg to speed up this example.
>>>
>> I think we can fix the example, but maybe that is not the most important
>> thing now.
> There was an issue about this; I forget the issue number, but the
2013/7/28 Andreas Mueller :
>> Maybe you need to install pyamg to speed up this example.
>>
> I think we can fix the example, but maybe that is not the most important
> thing now.
There was an issue about this; I forget the issue number, but the
point is that Lena segmentation used to take 7s and
On 07/28/2013 02:53 PM, Olivier Grisel wrote:
> 2013/7/28 Lars Buitinck :
>> 2013/7/28 Lars Buitinck :
>>> I'll try to debug locally.
>> Seems like the Lena example is still broken, make doc is taking a
>> *very* long time.
> Maybe you need to install pyamg to speed up this example.
>
I think we ca
On Sun, Jul 28, 2013 at 03:03:00PM +0200, Andreas Mueller wrote:
> > Maybe you need to install pyamg to speed up this example.
> I think we can fix the example, but maybe that is not the most important
> thing now.
Agreed on both parts
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> https://developers.google.com/analytics/devguides/collection/gajs/?hl=fr
Could you add this to the website ticket, pls
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It might be the case that we are still using the block GA js snippet.
There is an async one now:
https://developers.google.com/analytics/devguides/collection/gajs/?hl=fr
--
Olivier
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2013/7/28 Lars Buitinck :
> 2013/7/28 Lars Buitinck :
>> I'll try to debug locally.
>
> Seems like the Lena example is still broken, make doc is taking a
> *very* long time.
Maybe you need to install pyamg to speed up this example.
--
Olivier
-
hi Karol,
help welcome for :
https://github.com/scikit-learn/scikit-learn/issues/2091
for #2077 it might need a bit of API discussion first.
Alex
On Sun, Jul 28, 2013 at 9:06 AM, Karol Pysniak wrote:
> Hi All,
>
> I would like to get involved in contributing to scikit-learn and I found the
>
2013/7/28 Lars Buitinck :
> I'll try to debug locally.
Seems like the Lena example is still broken, make doc is taking a
*very* long time.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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2013/7/28 Gael Varoquaux :
> On Sun, Jul 28, 2013 at 12:57:45PM +0200, Andreas Mueller wrote:
>> We do tracking ;)
>> There is google analytics in there somewhere.
>
> The question is: why does it interfere with bootstrap?
I'll try to debug locally.
--
Lars Buitinck
Scientific programmer, ILPS
U
2013/7/28 Andreas Mueller :
> We do tracking ;)
> There is google analytics in there somewhere.
I know, that gave me a lot of headaches with local doc builds taking
>10mins to load in Firefox. Ghostery reports that it's blocking GA,
but it doesn't mention Bootstrap or Twitter.
--
Lars Buitinck
S
On Sun, Jul 28, 2013 at 12:57:45PM +0200, Andreas Mueller wrote:
> > No, but I did just notice that it works fine when I disable Ghostery
> > (tracking blocker). Does bootstrap do tracking?
> We do tracking ;)
> There is google analytics in there somewhere.
The question is: why does it interfere
On 07/28/2013 12:51 PM, Lars Buitinck wrote:
> 2013/7/28 Gael Varoquaux :
>> On Sun, Jul 28, 2013 at 12:17:25PM +0200, Lars Buitinck wrote:
>>> I've had the tab open for 10mins now...
>> OK, do you have javascript disabled.
> No, but I did just notice that it works fine when I disable Ghostery
> (t
2013/7/28 Gael Varoquaux :
> On Sun, Jul 28, 2013 at 12:17:25PM +0200, Lars Buitinck wrote:
>> I've had the tab open for 10mins now...
>
> OK, do you have javascript disabled.
No, but I did just notice that it works fine when I disable Ghostery
(tracking blocker). Does bootstrap do tracking?
--
On Sun, Jul 28, 2013 at 12:17:25PM +0200, Lars Buitinck wrote:
> I've had the tab open for 10mins now...
OK, do you have javascript disabled.
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On 28 July 2013 12:14, Gael Varoquaux wrote:
> On Sun, Jul 28, 2013 at 12:12:45PM +0200, Lars Buitinck wrote:
> > Chromium 28.0.1500.52 on Linux has some CSS issues with the new docs:
> > http://imgur.com/X6YScsy
>
> I think what you are seeing that the bootstrap layout engine takes a
> while to
2013/7/28 Gael Varoquaux :
> On Sun, Jul 28, 2013 at 12:12:45PM +0200, Lars Buitinck wrote:
>> Chromium 28.0.1500.52 on Linux has some CSS issues with the new docs:
>> http://imgur.com/X6YScsy
>
> I think what you are seeing that the bootstrap layout engine takes a
> while to kick in. If you wait m
On Sun, Jul 28, 2013 at 12:12:45PM +0200, Lars Buitinck wrote:
> Chromium 28.0.1500.52 on Linux has some CSS issues with the new docs:
> http://imgur.com/X6YScsy
I think what you are seeing that the bootstrap layout engine takes a
while to kick in. If you wait more, the layout should fix itself.
2013/7/28 Andreas Mueller :
> I just pushed our new website to
> http://scikit-learn.org/dev/
>
> It is not entirely done now, but I think it looks great.
> Thanks a lot to Gilles and Nelle who worked very hard on this, and also
> to Vicent who helped with the draft!
>
> We hope to update the docs
Hey everybody!
I just pushed our new website to
http://scikit-learn.org/dev/
It is not entirely done now, but I think it looks great.
Thanks a lot to Gilles and Nelle who worked very hard on this, and also
to Vicent who helped with the draft!
We hope to update the docs for the old versions with
Hi All,
I would like to get involved in contributing to scikit-learn and I found
the issues which seem to be good starting points. Could you tell me if
anyone is currently working on Issue #2091 or Issue #2077? Would it be
possible to learn some more details about those issues?
Thanks,
Karol
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