Spark BBN

Spark-BBN is an API to use Spark to learn Bayesian Belief Networks (BBNs).

HOWTO use Spark BBN

For now, only a singly-connected tree BBN is supported. Assuming you have a CSV file in HDFS, you could submit a Spark job as follows.

$SPARK_HOME/bin/spark-submit --class com.github.vangj.bbn.tool.BbnMstLearner \
    --master spark://node1:7077 \
    spark-bbn-assembly-0.0.1-SNAPSHOT.jar \
    --i /user/vagrant/data/data-1479668986461.csv \
    --o /tmp/001-graph \
    --omi /tmp/001-mi

Or, more generically.

$SPARK_HOME/bin/spark-submit --class com.github.vangj.bbn.tool.BbnMstLearner \
    --master spark://[master-node]:[master-node-port] \
    spark-bbn-assembly-0.0.1-SNAPSHOT.jar \
    --i /path/to/some.csv \
    --o /path/to/graph-output-folder \
    --omi /path/to/mutual-information-output-folder

You may copy and paste the output of the JSON graph directly into this example and visualize the BBN via jsbayes-viz.

Citation

@misc{vang_spark_bbn_2018, 
title={Spark BBN}, 
url={https://github.com/vangj/spark-bbn/}, 
journal={GitHub},
author={Vang, Jee}, 
year={2018}, 
month={Aug}}

Copyright Stuff

Copyright 2018 Jee Vang

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

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distributed under the License is distributed on an "AS IS" BASIS,
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