bayesvalidrox 0.0.1

An open-source, object-oriented Python package for surrogate-assisted Bayesain Validation of computational models.

BayesValidRox

An open-source, object-oriented Python package for surrogate-assisted Bayesain Validation of computational models. This framework provides an automated workflow for surrogate-based sensitivity analysis, Bayesian calibration, and validation of computational models with a modular structure.

Authors

• @farid

Installation

Install my project with pip

  pip install bayesvalidrox

Features

• Surrogate modeling with Polynomial Chaos Expansion
• Global sensitivity analysis using Sobol Indices
• Bayesian calibration with MCMC using emcee package
• Bayesian validation with model weights for multi-model setting

Requirements

• numpy==1.22.1
• pandas==1.2.4
• joblib==1.0.1
• matplotlib==3.4.2
• seaborn==0.11.1
• scikit-learn==0.24.2
• tqdm==4.61.1
• chaospy==4.3.3
• emcee==3.0.2
• tables==3.6.1
• corner==2.2.1
• h5py==3.2.1