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
