Surrogate-assisted Bayesian validation of computational models¶
BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison.

An introductory tutorial to the overall workflow with bayesvalidrox is provided in TUTORIAL and descriptions of the available examples can be found in EXAMPLES. The functionality and options for the different classes is described more in-depth in USER GUIDE and a list of all the classes and functions is provided in API.
Links¶
GitHub: https://git.iws.uni-stuttgart.de/inversemodeling/bayesvalidrox/-/tree/master?ref_type=heads
Documentation:
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Installation¶
This package runs under Python 3.9 for versions <1.0.0 and 3.9+ from version 1.0.0 on, use pip to install:
pip install bayesvalidrox
#TODO Note other needed installations and tips
Quickstart¶
#TODO A minimal example to get people started
See also¶
#TODO Link other websites that are related to BVR
License¶
#TODO Note the License under which BVR is released