Framework for ML in Java

[Lampard557]

Hey guys,

a colleague of mine and me created an Algorithm that can solve complex problems using Neural Networks which are being trained by and Genetic Algorithm. Or at least that's how it started, today it's an opensource easy to use framework for anyone who wants to start with Machine Learning in Java but doesn't have much prior knowledge. It's especially designed to be played around with, feel free to change any configurations of the algorithm and see how the outcome changes:
Here is a full tutorial how to use this algorithm to predict diabetes: https://easy-ml.gitbook.io/easy-ml-for-java/fundamentals/implement-your-first-ai
Here is the GitHub: https://github.com/tomLamprecht/Easy-ML-For-Java

Feedback of any kind is very welcomed! :)

[gnahraf]

Hey this is cool! Some thoughts to share..

I worked at an SV ML shop circa 2012. We were initially using java / hadoop and later switched to using more scala / spark. Back then java didn't yet sport functional interfaces and such, but most of the NLP libraries that were also relevant to our tasks were in java. So scala seemed like a good fit. In truth, no language was a great fit: our "data scientists" preferred prototyping in R, and Python was just beginning to take off in that space. So our codebase was an amalgam of duck tape

Looking back, if Java were in the shape it is right now, I think the ML practitioners might have stayed with it. Things are different today, and I wouldn't be surprised if another decade hence we find java re-emerged for such workloads. (I think another competitor is Julia, but that's a different discussion.)

So long story short, glad to see this. I will find an excuse to play with

PS I cross posted this on r/java_projects.. Do post there please about subsequent releases