The goal of this project is to provide high-level facilities to perform machine learning tasks (e.g classification). The user "just" has to specify a configuration file (in e.g JSON) with information about the dataset, the predictive variables, etc. Then, her specification is compiled in different languages/libraries and can then be executed. In a sense, doing machine learning in a declarative way, without fighting with the cryptic details of off-the-self libraries.

The processing of configuration files and compilers are written in Java.

Python 3 should be installed with the pandas and scikit-learn library: pip install -r requirements.txt

warning: on Windows system, the python command can well be py

R should be installed with rpart library

(TODO)

Docker files and images are provided to use MML. see mml-docker cd mml-docker; docker build -f Dockerfile -t mml . then you got an mml:latest image that can be used to run specific scripts