[scikit-learn] Note of appreciation to Scikit-learn team

[Gael Varoquaux]

I would just like to say: thank you for stepping up and telling the team.
It is a simple fact of life that a development team is more likely to
hear about failures than success: people ask for help, or report bugs,
when there are having problems.

So thank you! It's important and very motivational. Scientific innovation
like yours is what inspires me.

Gaël

On Wed, Mar 22, 2017 at 02:10:27PM +0900, Brown J.B. wrote:
> To all organizers, developers, and maintainers involved in the Scikit-learn
> project,

> I would like to share a recent article that researchers from MIT, ETH, and
> Kyoto University (myself) have published about building efficient models for
> drug discovery and pharmaceutical data mining.

> In short, it demonstrates through replicate experiment that neither big data
> nor complex AI such as deep learning are necessary for efficient drug
> discovery, and that active learning can guide/assist decision making processes
> in the real world.

> The paper's success is underpinned by the use of Scikit-learn's
> RandomForestClassifier implementation combined with other techniques developed
> in the work.
> Therefore, it is a by-product of the volunteerism, hard work, and dedication by
> those involved in scikit-learn.

> As the senior author of this study, I wish to share my great appreciation for
> your efforts.
> While I am strongly limited in time and can barely contribute to this
> community, I cannot thank all of you enough for your work - it has made an
> impact.

> We are working on theoretical extensions of the work now, as well as pushing
> the technology forward in applied discovery sciences (in agricultural,
> pharmaceutical, and medical areas).  In the theory and real-world applications,
> scikit-learn is indispensible.

> We have made the paper open access, and hope that such will inspire this
> community as well as those in applied sciences.
> You will see that the open source software community has been listed in the
> Acknowledgments.
> Certainly, we would welcome even the most casual of comments about the paper.

> The paper can be retrieved from here:
> http://www.future-science.com/doi/abs/10.4155/fmc-2016-0197

> With kindest regards and sincere appreciation,
> J.B. Brown
> Kyoto University Graduate School of Medicine
> Junior Associate Professor and Principal Investigator
> http://statlsi.med.kyoto-u.ac.jp/~jbbrown

> PS - To those of you involved in the matplotlib, scipy, and numpy projects,
> your forwarding of this to those projects would be appreciated.  They were also
> critical.

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-- 
    Gael Varoquaux
    Researcher, INRIA Parietal
    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