JML is an easy to use machine learning library that can be used by developers to increase the speed of code translation.
JML provides implementations of multiple scalable optimization algorithms, that are very important for machine learning methods if they are applied on large scaled data.
JML is developed using the Java programming language and can be run on Mac OS X, Windows and Linux.
Here are some key features of "JML":
· Code conversion from MATLAB to Java
· Separates feature engineering and model training
· Friendly API