Gaussian-process Bayesian optimization for nonlinear model calibration
Project description
emcal
emcal is a Python package for emulator-based Gaussian-process Bayesian optimization
(GPBO) for nonlinear model calibration. It implements the methods described in:
Carlozo, M., Wang, ..., Dowling, A. W. "Bayesian Optimization Methods for Nonlinear Model Calibration." Industrial & Engineering Chemistry Research, 2025.
This is an early placeholder release. It reserves the emcal name on PyPI while the
full implementation is refactored and prepared for public release; it does not yet
contain the library's functionality. Watch this repository for updates.
Installation
pip install emcal
License
MIT
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