Machine learning library and application written in OCaml which generalizes decision tree learning to algebraic data types

AIFAD stands for Automated Induction of Functions over Algebraic Data Types and is an application written in OCaml that improves decision tree learning by supporting significantly more complex kinds of data. This allows users to more conveniently describe the data they want to learn functions on and can improve the accuracy and complexity of resulting models.