Maybe list contributors alphabetically without the number of commits then?

On Fri, Nov 6, 2015 at 11:16 PM, Andreas Mueller <t3k...@gmail.com> wrote:

> We can reintroduce the list of contributors but I wasn't convinced it send
> a good message, as it emphasizes a particular metric. Squashing commits
> basically kills your number of commits, so good practices are punished.
> Also, or doesn't count reviews, which are at least as important as code.
> The changelog still names the authors next to the commits.
> If the consensus is that it is valuable we can add it back in / keep doing
> it for the future.
> On Nov 6, 2015 04:05, "Mathieu Blondel" <math...@mblondel.org> wrote:
>
>> It's a pity that people who contributed to the release are not listed
>> anymore.
>>
>> Of course, congrats to everyone involved and in particular to our release
>> managers :)
>>
>> M.
>>
>> On Fri, Nov 6, 2015 at 9:45 AM, Andreas Mueller <t3k...@gmail.com> wrote:
>>
>>> Hey everybody.
>>>
>>> I'm happy to announce the release of scikit-learn 0.17.
>>> A big thank you to everybody who contributed.
>>>
>>> Highlights of the release include:
>>>
>>> - Latent Dirichlet Allocation via Online Variational Inference
>>> - A Stochastic Average Gradient solver for LogisticRegression and
>>> RidgeRegression
>>> - A Coordinate Descent solver for NMF (which is much faster!)
>>> - The Barnes-Hut approximation for T-SNE (much faster!)
>>> - Many new cross-validation strategies and preprocessing transformers
>>> - Speed improvements to the tree-based models
>>> - and so much more...
>>>
>>> Read the full change-log here:
>>> http://scikit-learn.org/stable/whats_new.html
>>>
>>> An important API change is that we deprecated support for X being a 1d
>>> array.
>>> Please make sure that X is always (n_features, n_samples), even if one
>>> of them is one.
>>>
>>>
>>> The new version is available via pip and conda:
>>>
>>>      $ pip install --update scikit-learn
>>>
>>> or
>>>
>>>      $ conda update scikit-learn
>>>
>>> Please don't update a (ana)conda installation using pip, as that might
>>> lead to problems.
>>> Let us know any issues you have on the issue tracker:
>>> https://github.com/scikit-learn/scikit-learn/issues
>>>
>>> Happy learning!
>>>
>>> Andy
>>>
>>>
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>>
>>
>>
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