SMILE licenses generated by our licensing server include the license for use with R/rJava (in addition to C++, Python, Java, C# and VB.NET).

BayesFusion, LLC, has offered a $1,000 cash award for the best student paper in the 9th Probabilistic Graphical Models (PGM-2018) conference, which will take place in Prague, Czech Republic, September 11-14.

BayesFusion releases an interactive model repository that allows users to open models and work with them using any web browser.  The user can set evidence (or a decision in influence diagrams) and observe the impact of this observation on the rest of the model.  Models in the repository are divided into small Bayesian networks, large Bayesian networks, hybrid Bayesian networks, and influence diagrams.  Each of the repository models can be downloaded in order to be used locally through GeNIe.

Python logo

BayesFusion has released PySMILE, a SMILE wrapper for direct use from Python.  We supported Python in the past but only through jSMILE, SMILE’s Java wrapper.  We strive to ensure feature symmetry between the wrappers — features available in one wrapper are generally available in other wrappers and are all described in one wrapper manual.

PySMILE can be downloaded from the BayesFusion downloads page.  Please see BayesFusion documentation page for more details.


SMILE 1.2.1 has been released (including jSMILE and SMILE.NET wrappers).  This version of SMILE offers performance improvements and bug fixes.


SMILE 1.2.0 has been released (including jSMILE and SMILE.NET wrappers).  This version of SMILE includes hybrid modeling functionality, which is available in GeNIe 2.2 since August 2017.


BayesFusion, LLC, has released GeNIe 2.2 with hybrid Bayesian networks capability.  Hybrid Bayesian networks allow for both discrete and continuous nodes.  GeNIe 2.2 allows for full modeling freedom with no restrictions on the functional form of the interactions between variables and on the probability distributions involved in these interactions.


BayesFusion, LLC, releases SMILE.COM, a SMILE wrapper for use in Microsoft Excel and other OLE Automation/scripting environments.

PyData Warsaw 2017 logo

Prof. Druzdzel, a co-founder of BayesFusion, LLC, gave a presentation on the topic of Learning Bayesian Networks and Causal Discovery at the PyData Warsaw meeting #9: Deep & Machine Learning on 29 March 2017.  A recording of the presentation is available through BayesFusion’s YouTube channel (

ABNMS logo

Prof. Druzdzel, a co-founder of BayesFusion, LLC, delivered an invited plenary talk at the Eighth Annual Conference of the Australasian Bayesian Network Modelling Society (ABNMS2016) held at the University of Western Australia on 22-25th November 2016. The conference is an annual meeting of the Australasian Bayesian Network Modelling Society (ABNMS, ABNMS’s purpose is to promote the understanding and use of Bayesian network models in scientific, industrial, and research applications. The invited plenary talk, titled “(The Importance of) Human Interface to Bayesian Networks” focused on various user interface techniques employed in GeNIe that compose its widely known user interface. A recording of the talk is available through BayesFusion’s YouTube channel (