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 > >
