pyspark-bbn
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.
- Diabetes
- Housing Prices
- Congressional Support
- Congressional Influence
- Congressional Influence - All
About
Copyright
Software
Art
Copyright 2020 Daytchia Vang
Citation
@misc{rocketvector_sdk_2020,
title={pyspark-bbn},
url={https://sdk.rocketvector.io},
author={Rocket Vector},
year={2020},
month={May}}