Affinis: tools for inferring relations from co-occurrence data

Affinis is a tool for assisting in unsupervised structure learning on sparse, binary data. For large (sparse) feature matrices, especially ones with binary-valued entries, techniques to figure out the underlying structure of the feature space are widely varied, and different communities have widely different practices and assumptions for what is an appropriate approach. Affinis provides reference implementations for many of these methods, with a consistent API to enable community adoption and a shared benchmarking environment.