Package contains helper modules for using history matching for parameter optimzation.
Project description
History Matching (Core)
Core package for Bayesian History Matching. Generic as possible implementation built upon scikit-learn Gaussian Process Regression layer for the emulation.
Implements helper functions and classes for conducting history matching runs, handling different sampling spaces.
Developed by Robert King (robcking@stanford.edu)
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