Online Probabilistic soft logic (PSL) is a machine learning framework for developing online probabilistic models. PSL models are easy to use and fast. You can define models using the PSL syntax and solve them with fast online convex optimization. More information about PSL is available at the PSL homepage.
If you do want to install OnlinePSL 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 installWe hope you find Online-PSL useful! Please consider citing Online-PSL in any related publications as
@inproceedings{dickens:icml21,
title = {Context-Aware Online Collective Inference for Templated Graphical Models},
author = {Charles Dickens and Connor Pryor and Eriq Augustine and Alex Miller and Lise Getoor},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2021},
_publisher = {PMLR},
address = {Virtual},
}