At least one project has exposed scikit-learn fitting and trained models as
a web service: http://psi.cecs.anu.edu.au/
On 17 March 2014 21:33, Eustache DIEMERT <[email protected]> wrote:
> 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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>
>
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> "Graph Databases" is the definitive new guide to graph databases and their
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