Thanks, Jacob, this is what I was looking for. -Tom On Mon, Jan 5, 2015 at 5:48 PM, Jacob Quinn <[email protected]> wrote:
> I know there's been a lot of discussion [here]( > https://github.com/JuliaStats/Roadmap.jl/issues/11) in the past, though > not very recently. I would imagine there would be even more willing to > participate in pushing things forward at this point (myself included). I'd > say chiming in there would most likely get some great response. > > -Jacob > > On Mon, Jan 5, 2015 at 6:28 PM, Tom Fawcett <[email protected]> wrote: > >> True, but yes, not very satisfying. >> >> It seems like there's a good intersection of Julia people with machine >> learning people. I was thinking there might already be an effort underway >> to develop a native ML framework for Julia. Since I'm an ML person I'd >> like to get involved. But I'm new to Julia so I probably wouldn't be the >> best person to lead such an effort. >> >> Regards, >> -Tom >> >> On Mon, Jan 5, 2015 at 2:42 PM, Stefan Karpinski <[email protected]> >> wrote: >> >>> You can always call scikit learn from Julia using PyCall. Not sure how >>> satisfying that would be for what you had in mind though. >>> >>> On Mon, Jan 5, 2015 at 3:22 PM, Tom Fawcett <[email protected]> >>> wrote: >>> >>>> Fellow humans, >>>> >>>> I realize there are various machine learning algorithms implemented in >>>> Julia. Is there anything like a machine learning framework, similar to >>>> scikit-learn, under development? >>>> >>>> Of course, Julia already has many of the capabilities of Numpy & Scipy >>>> so that's most of the way. I'm imagining a package (or meta-package) to >>>> provide a common processing framework (comprising IO, pre-processing, core >>>> ML algs, evaluation, visualization, etc.) with a set of APIs. It would >>>> provide a standard way to string together components so anyone can set up >>>> an ML processing stream or contribute a new module. >>>> >>>> Is anything in the works? I did a brief search and didn't find >>>> anything. >>>> >>>> Thanks, >>>> -Tom >>>> >>>> >>> >> >
