Congratulations! This has been a long time coming, and if not only for the
swathe of features it'll be great to see the documentation improvements
appearing on stable soon!
My thoughts on development priorities for the next release (and ideally to
focus on before GSoC eats everyone's brains):
We need to finalise some of last year's GSoC contributions. Specifically,
Issam (and perhaps more importantly ELM
<https://github.com/scikit-learn/scikit-learn/pull/3306> and MLP
<https://github.com/scikit-learn/scikit-learn/pull/3204>) is yet to appear
in the changelog despite a phenomenal effort, while LSHForest requires
integration and extension as in #3922
<https://github.com/scikit-learn/scikit-learn/pull/3922>, #3988
<https://github.com/scikit-learn/scikit-learn/issues/3988>, #3990
<https://github.com/scikit-learn/scikit-learn/issues/3990>, #4041
<https://github.com/scikit-learn/scikit-learn/issues/4041>). There are of
course other contributions, but given the amount of work that has gone into
making these contributions solid and timely, they should be published and
made usable.
On the API front, I would really really love to see multiple metric support
in grid search working (after all, that issue was my first contribution to
scikit-learn), while reengineering cross-validation for nesting also seems
to be of interest and brings with it issues of forwarding parameters like
labels for LOLO and sample_weight in the cross-validation/grid search
apparatus.
Unfortunately I'll be relatively indisposed over the next few months due to
movements in personal and work life. So thanks all for 0.16b and I look
forward to what 0.17 may bring!
On 10 March 2015 at 02:49, Andreas Mueller <t3k...@gmail.com> wrote:
> Thanks for all the release work Olivier!
>
> On Mon, Mar 9, 2015 at 11:46 AM, Gael Varoquaux <
> gael.varoqu...@normalesup.org> wrote:
>
>> Bravo!
>>
>> Thanks for handling this.
>>
>> Gaël
>>
>> On Mon, Mar 09, 2015 at 04:42:12PM +0100, Olivier Grisel wrote:
>> > The first beta for scikit-learn 0.16 is available on PyPI:
>>
>> > https://pypi.python.org/pypi/scikit-learn/0.16b1
>>
>> > You can install it with:
>>
>> > pip install scikit-learn==0.16b1
>>
>> > or by downloading the archive and building it from source as usual.
>>
>> > Please feel free to report bugs on github. In particular if you find
>> > regressions (a bug not present in scikit-learn 0.15.2) please add the
>> > "[REGRESSION]" marker to the title of the issue.
>>
>> > Thanks to everybody who contributed to this first beta release.
>>
>> > Depending on the amount of feedback we plan to release another beta or
>> > the final 0.16 release in 2 weeks.
>>
>> > Regards,
>> --
>> Gael Varoquaux
>> Researcher, INRIA Parietal
>> Laboratoire de Neuro-Imagerie Assistee par Ordinateur
>> NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
>> Phone: ++ 33-1-69-08-79-68
>> http://gael-varoquaux.info
>> http://twitter.com/GaelVaroquaux
>>
>>
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>
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