Hybrid Dynamic Bayesian Networks video is now available on our YouTube channel.
News about BayesFusion’s products
SMILE 2.3 is now available. This version of the library supports equations in dynamic Bayesian networks.
The libraries for C++, Python, Java, R and .NET can be downloaded from https://download.bayesfusion.com. We also maintain repositories for use with Maven and pip. Please see the download website for more details.
Supported Python versions are 3.9 to 3.13.
SMILE 2.2 is now available. This version of the library supports new diagnosis algorithms.
The libraries for C++, Python, Java, R and .NET can be downloaded from https://download.bayesfusion.com. We also maintain repositories for use with Maven and pip, see the download website for more details.
Supported Python versions are 3.8 to 3.12.
BayesBox Dashboard provides at-a-glance views of selected key variables that are relevant to a given objective or a business process.
Starting with version 2.0, SMILE fully supports Macs based on M series (Apple Silicon) ARM CPUs. The C++, Python and Java libraries are available as universal binaries, containing both ARM and x64 code. The wrapper for R is available as separate binaries for ARM and x64.
To download the libaries, go to https://download.bayesfusion.com.
SMILE 2.0 is now available. This version of the library supports discrete node outcomes based on numeric intervals or point values. Also, the metalog probability distribution can be used in equation node definitions.
The libraries for C++, Python, Java, R and .NET can be downloaded from https://download.bayesfusion.com. We also maintain repositories for use with Maven and pip, see the download website for more details.