Structure Learning for pgmpy

GSoC 2016 Work Product

Posted on Mon 22 August 2016 in general

My GSoC 2016 work can be found here:

https://github.com/pgmpy/pgmpy/commits?author=chrisittner

In addition, these two Pull Requests are not yet merged:

I wrote an introduction to pgmpy’s new structure learning ...

GSoC 2016 is coming to an end I’ve just sent the last PR necessary to complete the scope of my proposal. It has been an exciting project, and I do feel that I learned a lot. I was able to implement a number of basic BN structure estimation algorithms ...

Feature summary of BN structure learning in python pgm libraries

Posted on Sat 23 July 2016 in general

This is a (possibly already outdated) summary of structure learning capabilities of existing Python libraries for general Bayesian networks.

libpgm.pgmlearner

Discrete MLE Parameter estimation
Discrete constraint-based Structure estimation
Linear Gaussian MLE Parameter estimation
Linear Gaussian constraint-based Structure estimation

Version 1.1, released 2012, Python 2

bnfinder (also here)

Discrete ...

GSoC proposal accepted!

Posted on Tue 26 April 2016 in general

My proposal for Google Summer of Code 2016 has been accepted :). This means that I will spend part of my summer working on the pgmpy library. I will implement some techniques for Bayesian Network structure learning. You can have a look an my proposal here.

As a first step, I ...