Probabilistic soft logic (PSL) is a probabilistic programming language for reasoning about relational and structured data that is designed to be highly scalable. More information about PSL is available at the PSL homepage.
If you want to use PSL to build models, you probably do not need this source code. Instead, visit the Getting Started guide to learn how to create PSL projects that will automatically install a stable version of these libraries.
If you do want to install PSL from source, you can use Maven 3.x. In the top-level directory of the PSL source (which should be the same directory that holds this README), run
mvn install
We hope you find PSL useful! If you have, please consider citing PSL in any related publications as
@article{bach:jmlr17,
Author = {Bach, Stephen H. and Broecheler, Matthias and Huang, Bert and Getoor, Lise},
Journal = {Journal of Machine Learning Research (JMLR)},
Title = {Hinge-Loss {M}arkov Random Fields and Probabilistic Soft Logic},
Year = {2017}
}