[openstack-dev] [machine learning] Question: Why there is no serious project for machine learning ?

严超 yanchao727 at gmail.com
Tue Jan 17 08:38:47 UTC 2017


Thank you Eran. This is a rather interesting replay.
Thank you very much.

<eran at itsonlyme.name>于2017年1月16日周一 下午6:07写道:

> > Not sure what you mean by serious.
> >
> > Maybe you could have a look at Meteos[1]. It is a young project but
> surely
> > focuses on machine learning.
> >
> > [1]: https://wiki.openstack.org/wiki/Meteos
> Another avenue is to use Storlets for either the learn or prediction
> phase where the data resides in Swift.
> We are currently adding IPython integration [1] that makes it very
> easy to deploy and invoke Storlets from IPython (a data scientists
> beloved tool :-), plus [2] is an initial working towards leveraging
> Storlets for machine learning.
>
> In few more words: Storlets [3] allow to run a serverless computation
> inside Swift nodes, where the computation is done inside a Docker
> container. This basically means that you can write a piece of code (in
> either Python or Java) upload that code to Swift (as if it was a data
> object) and then invoke the uploaded code (called storlet) on your
> data (much like AWS Lambda). The nice thing is that the Docker image
> where the storlet is executed can be tailored by the admin, and as to
> make sure it has, e.g. scikit-learn installed. With such a Docker
> image you can write a storlet that would use the sickit-learn
> algorithms on swift objects.
>
>
> [1] https://review.openstack.org/#/c/416089/
> [2] https://github.com/eranr/mlstorlets
> [3] http://storlets.readthedocs.io/en/latest/
>
>
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