v1.0.0 First Full Release

This is the first version that is verified to be relatively stable and contain most major features in a variety of options.

Since the last version, there have been a number of updates including numerous bug fixes and additional options for SupRB's rules and optimizers. Most notably the availability of self-adaptive GAs for solution composition.

0.1.2 ECTA 2022 experiments

ECTA version of the code

0.1.1

Update citation.cff for new release

0.1.0: Add new solution composition optimizers

This is the first official release of the Supervised Rule-based Learning System (SupRB). A supervised batch learning regressor from the learning classifier system family. Rules partition the input space and assign a submodel to each partition. Partitions can overlap and predictions are mixed in that case. For more information check: https://doi.org/10.1145/3520304.3529014