ROBERT

ROBERT is a Python package designed to help inexperienced researchers get started training machine-learning models. It is an ensemble of automated machine-learning protocols that can be run sequentially through a single command line or graphical user interface. The program works for regression and classification problems.

Documentation can be found here.

Publication can be found here.