Hi Daniel,
I don't know to which extent python's regular virtualenv [1] does not
provide the same kind of functionality as Docker ?
For the REST API, it seems a good idea for executing models, but IMHO it
would be largely suboptimal to fit estimators on data passed over HTTP.
Another info is that companies such as Continuum [2] already provide
different tools that seem to cover the most of your program (e.g. Conda,
Wakari).
HTH,
Eustache
[1] http://virtualenv.readthedocs.org/en/latest/virtualenv.html
[2] http://continuum.io/
2014-03-13 10:26 GMT+01:00 Daniel Pyrathon <[email protected]>:
> Hi,
>
> My name is Daniel Pyrathon. I am currently a third year BSc student in
> Computer Science at the University of Plymouth.
> Since my placement year I have been very interested in machine learning and
> AI in general. This has led me to self-learn some of the main models such as:
> Neural Networks (MLP, RBM), Naive Bayes classifiers, Genetic Algorithms, and
> I am currently learning RBMs because of my interest in deep learning. I love
> programming and I have always been active in the Open Source community
> (especially Python). In the past years I have attended the last 3 EuroPython
> conferences and I have been a staff member of the conference for the last 2
> years.
>
> I am currently using Scikit (together with other libraries) for my
> dissertation project: a real-time Twitter sentiment analysis classifier. As
> my application is written in HTML5 and JS, I connect to Scikit using a
> RESTful API. The API I had built was so generic, it was then reused with
> other projects.
>
> The idea that has come out of this experience is to build a Machine Learning
> SaaS.
>
> The SaaS would be composed of:
>
>
> - A Docker image, deployable in one command. This will allow any developer
> who has an lxc compatible system to install and use Scikit in an isolated
> environment. As Docker containers are entirely isolated, this gives freedom
> to the programmer to update and deploy without having to think about the
> other components of his/her application.
> - A RESTful interface on top of Scikit, providing one universal way for
> programmers to train, test, and evaluate multiple machine learning
> techniques. This makes it very simple for programmers to integrate machine
> learning algorithms with existing components of their stack and scale
> massively.
>
> I have already pitched this idea to the Shogun community, and I am getting a
> lot of very interesting feedback. I would also like the Scikit community to
> let me know if they would be interested in this too, and give me possible
> suggestions.
>
>
> Thanks,
>
> Daniel Pyrathon
>
>
> --
> *************
>
> PirosB3
>
> https://github.com/PirosB3 <http://pirosb3.com>
>
>
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