Metadata-Version: 2.4
Name: emcal
Version: 0.0.1
Summary: Gaussian-process Bayesian optimization for nonlinear model calibration
Author-email: Montana Carlozo <mcarlozo@nd.edu>, Alexander Dowling <adowling@nd.edu>
License: MIT
Project-URL: Homepage, https://github.com/DowlingLab/emcal
Project-URL: Repository, https://github.com/DowlingLab/emcal
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# 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

```bash
pip install emcal
```

## License

MIT
