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
1 maintainer
Metadata
1 maintainer
Release files for emcal 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| emcal-0.0.1.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| emcal-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 kB
Release files / emcal-0.0.1.tar.gz
| Download URL | emcal-0.0.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
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Release files / emcal-0.0.1-py3-none-any.whl
| Download URL | emcal-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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