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 >> >> >
