Re: [Scikit-learn-general] Releasing 0.15

2014-06-07 Thread Andy
On 06/05/2014 03:24 PM, Olivier Grisel wrote:
> I don't think this is possible and this is not what we did for
> previous releases:
>
> For instance:
>
> The release 0.13 is in branch 0.13.X but not master:
> https://github.com/scikit-learn/scikit-learn/commit/9cf67f961e3d0b493f432df0201d91bd0a7dcedf
>
> The release 0.14(.0) is in branch 0.14.X but not master:
> https://github.com/scikit-learn/scikit-learn/commit/d13928cc0653f52de55e22118915b0c5bcba13d7
>
> The release 0.14.1 is in branch 0.14.X but not master:
> https://github.com/scikit-learn/scikit-learn/commit/34c4908369968dd0f77897ec9dd8c227e7545478
>
>
> I think we should stick to that scheme.
>

Wait, they should be in master, right? Well we need to change the 
version is master, too.
I think I did some cherry picking because that seemed easier at the 
time, but maybe just merging the release in master would be the right 
thing to do.

I'm not sure why I did the release the way I did back then maybe 
because it is an unneccessary commit, be cause the version is then 
changed again?

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Re: [Scikit-learn-general] Releasing 0.15

2014-06-07 Thread Andy
On 06/04/2014 04:21 PM, Olivier Grisel wrote:
> Hi all,
>
> I am thinking about cutting a 0.15 branch as soon as the PR on
> multilabel input format is merged:
>
> https://github.com/scikit-learn/scikit-learn/pull/2657
>
> and release a 0.15.0b1 right after to test packaging under various
> platforms (it should be good as I recently got good windows builds
> under 2.7 and 3.4 and the MSVC compiler).
>
> Then work on fixing bugs to release 0.15.0b2 next week and 0.15.0
> final in 2 weeks.
>
> Merging new features can still happen in master during that period. Only
> bugfixes are to be cherrypicked to the 0.15 branch.
>
> I would really like to find the time to finish investigating how to
> best fix the minibatch k-means cluster reassignment during the beta /
> bug fixing period but I don't want to delay the release process any
> further as I am already 7 months late on my initial schedule :P
>
Actually I don't care so much about the strategy as about the fixes 
being merged.
The current implementation is pretty buggy.

Also, I'd really like the fix for train_val_split to be merged.
Having cross-validation work on text data, but train_val_split not 
(memory explosion) seems pretty bad to me.

Sorry I haven't been working on these :-/

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Re: [Scikit-learn-general] Releasing 0.15

2014-06-07 Thread Andy
On 06/05/2014 03:55 PM, Lars Buitinck wrote:
> 2014-06-05 15:43 GMT+02:00 Olivier Grisel :
>> The question is more in the even we start having release specific
>> changes to the website such as some done in:
>>
>> https://github.com/scikit-learn/scikit-learn/commit/9cf67f961e3d0b493f432df0201d91bd0a7dcedf
> Right. Ok.
>
But a simliar commit is in master, right? The dev-website shouldn't be 
saying 0.12? Maybe I'm just missing something, I'm severely jet-lagged ;)

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[Scikit-learn-general] what does normalize in Lasso do?

2014-06-07 Thread Luca Puggini
I am having a problem with the Lasso function in sklearn.
I have posted the question on this forum

http://stackoverflow.com/questions/24098212/what-does-the-option-normalize-true-in-lasso-sklearn-do

can someone help me?
Thanks!
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Re: [Scikit-learn-general] what does normalize in Lasso do?

2014-06-07 Thread Manoj Kumar
Hello Luca,

This was a problem that even I had noticed quite recently. It does seem
that the normalize option does not scale the input data to unit variance
(or) standard deviation. For some reason the data is scaled to square root
of n_samples.

Attempts were made to rectify this but there were too many test failures.
Please see this Pull Request.

https://github.com/scikit-learn/scikit-learn/pull/3005 and this discussion.

https://github.com/scikit-learn/scikit-learn/pull/3004#issuecomment-38571249



On Sat, Jun 7, 2014 at 8:16 PM, Luca Puggini  wrote:

> I am having a problem with the Lasso function in sklearn.
> I have posted the question on this forum
>
>
> http://stackoverflow.com/questions/24098212/what-does-the-option-normalize-true-in-lasso-sklearn-do
>
> can someone help me?
> Thanks!
>
>
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> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/NeoTech
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>
>


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