Re: [ML] [GraphFrames] : Bayesian Network framework

[Felix Cheung]

GraphFrames has a Belief Propagation example
Have you checked it out?

graphframes.github.io/api/scala/index.html#org.graphframes.examples.BeliefPropagation$<http://graphframes.github.io/api/scala/index.html#org.graphframes.examples.BeliefPropagation$>



From: Brian Cajes <brian.ca...@gmail.com>
Sent: Friday, December 30, 2016 3:27:13 PM
To: spark-dev
Subject: [ML] [GraphFrames] : Bayesian Network framework

Hi, I'm interested in using (or contributing to an implementation) of a 
Bayesian Network framework within Spark.  Similar to 
https://github.com/jmschrei/pomegranate/blob/master/examples/bayesnet_monty_hall_train.ipynb
 .  I've found a related library for spark: 
https://github.com/HewlettPackard/sandpiper , but it's not quite what I'm 
looking for.  It would be nice if this framework integrated with ML or 
GraphFrames.  Anyone know of any other Bayesian Network frameworks using Spark? 
 If not, would this sort of framework be a worthwhile addition to ml, 
graphframes or spark-packages?

[ML] [GraphFrames] : Bayesian Network framework

[Brian Cajes]

Hi, I'm interested in using (or contributing to an implementation) of a
Bayesian Network framework within Spark.  Similar to
https://github.com/jmschrei/pomegranate/blob/master/examples/bayesnet_monty_hall_train.ipynb
.  I've found a related library for spark:
https://github.com/HewlettPackard/sandpiper , but it's not quite what I'm
looking for.  It would be nice if this framework integrated with ML or
GraphFrames.  Anyone know of any other Bayesian Network frameworks using
Spark?  If not, would this sort of framework be a worthwhile addition to
ml, graphframes or spark-packages?