ProBT

ProBT© is a powerful modeling, inference, and learning platform inheriting 10 years of experience in Bayesian probabilistic computing.

ProBT© extends the Bayesian Networks framework by providing a structured programming language allowing the developers to increase their applications capabilities and robustness by easily integrating Bayesian models.

To face complex professional challenges, ProBT has been designed to ensure the best performance you can expect in terms of:

 Exact and/or approximate inference
 Adaptive (incremental) and batch learning capacities
 Modularity using sub-models
 Speed
 Accuracy
 Robustness
 Parallelization

To fit any professional usage, Probayes provides the ProBT-Engine ensuring ProBT full power to programmers and available through a library API available in C++ and Python. The API provides all ProBT features allowing the developers to increase their applications capabilities by integrating Bayesian models.