pyspark-bbn

pyspark-bbn logo

Preface

pyspark-bbn is a scalable, massively parallel processing MPP framework for learning structures and parameters of Bayesian Belief Networks BBNs. The API leverages Apache Spark for high-performance HPC computing needs. While there are papers and approaches to scalable learning of BBNs, to our knowledge, pyspark-bbn is the first of its kind to leverage Apache Spark. We have implemented several structure learning algorithms for both discrete and gaussian variables. Please contact us at info@rocketvector.io to discuss our products and services.

About

Rocket Vector logo.

Citation

@misc{rocketvector_sdk_2020,
title={pyspark-bbn},
url={https://sdk.rocketvector.io},
author={Rocket Vector},
year={2020},
month={May}}