Relational Causal Discovery Light (Lee and Honavar, AAAI 2016 paper)
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Relational Causal Discovery Light (RCD-Light)

This adds a new algorithm called Relational Causal Discovery Light to the existing software Relational Causal Discovery (RCD, Maier et al. 2013) developed by developed by the Knowledge Discovery Laboratory at the University of Massachusetts Amherst. The original software is available from here

Packages under causality includes some modified source files originally from RCD for new features and performance improvements. Packages under shlee contains new sources for RCD-Light.

Please checkout pyRCDs, which is the successor of RCD-light.


Sanghack Lee and Vasant Honavar (2016) On Learning Causal Models for Relational Data. In Proceedings of Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), To Appear.

Marc Maier, Katerina Marazopoulou, David Arbour, and David Jensen (2013) A sound and complete algorithm for learning causal models from relational data. In Proceedings of the Twenty-Ninth UAI Conference on Uncertainty in Artificial Intelligence, (UAI-2013)