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

[Andreas Mueller]

I want to join Gaël in thanking you for saying thanks.
It's great to see appreciation of the work that the scientific python 
community does.
I don't think I've seen anyone cite scipy in their research work, even 
though it is the backbone for so many papers.
It's important for us that the academic environment recognizes software 
contributions, because many
of us rely on academic funding to do this work.

Best,
Andy

On 03/22/2017 01:10 AM, 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 
> <http://statlsi.med.kyoto-u.ac.jp/%7Ejbbrown>
>
> 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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