That's great. Thanks for the links. I read about PyData. Sounds
promising... I'm algo checking out ML packages in Haskell. I'd like to see
other more functional approaches.

Fran

On Thu, Nov 2, 2017, 19:31 Matthieu Pizenberg <[email protected]>
wrote:

> Hi Francisco, that's awesome what you aim for. I'm also looking forward
> for more scientific programming stuff in elm.
> Inspiration from numpy is a great choice considering almost all learning
> frameworks are usable in python. As a sidenote though you might want to
> have a look at the xtensor project <https://github.com/QuantStack/xtensor>
> (also inspired by numpy). I've not used it yet but I've seen their 
> introduction
> video at PyData <https://youtu.be/mwIQUgigjbE> and the approach looks
> great! I think it could give you some ideas if you want to create a generic
> package for machine learning in elm.
>
> Cheers,
> Matthieu
>
>
> On Tuesday, October 31, 2017 at 5:32:06 AM UTC-7, Francisco Ramos wrote:
>>
>> Today I'm releasing NumElm, another small contribution to the Open
>> Source, Frontend and Elm community. NumElm is inspired by NumPy, the
>> fundamental package for scientific computing with Python. NumElm is the
>> first step in this ambitious idea of mine of building a Machine Learning
>> package for Elm. Still a long way to go, but I'm full of enthusiasm. I'm
>> convinced about the potential of both worlds together, Elm language and
>> Machine Learning.
>>
>> https://github.com/jscriptcoder/numelm
>>
>> Please, any feedback would be highly appreciated.
>>
>> Fran
>>
>

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