ILF: Inductive Learning Framework
The Inductive Learning Framework provides a toolkit for people working with symbolic learning and rule abduction. It allows you to select data, identify features, select and test a learning algorithm. At all of these stages, you can either use the modules provided, or add your own. In particular, you will want to add your own learning modules - the ILF provides an easy way to test your learning algorithms against standard data sets.
This project is still under development.
Project repository
The code for the Inductive Learning Framework ishere: https://gitlab.fhnw.ch/bradley.richards/InductiveLearningFramework.