On the recordRead 12 Oct 202616 facts
BayesO
Plans and prices
BayesO
Free
MIT-licensed Python package
Read 12 Oct 2026 · bayeso.readthedocs.io
On the record
- Acquisition functions
- Included acquisition functions include probability of improvement, expected improvement, and Gaussian process upper confidence bound.bayeso.readthedocs.io · read 12 Oct 2026
- Bayesian analysis
- Yesbayeso.readthedocs.io · read 23 Sep 2026
- Hyperparameter optimization
- An example uses BayesO to optimize max_depth and n_estimators for an XGBoost classifier.bayeso.readthedocs.io · read 12 Oct 2026
- Installation
- The package can be installed from PyPI with pip install bayeso or from source, including in editable development mode.bayeso.readthedocs.io · read 12 Oct 2026
- Integrations
- The documentation includes a script and example for optimizing a function with WandB.bayeso.readthedocs.io · read 12 Oct 2026
- Intended users
- The documentation describes use for application-specific modifications and for running Bayesian optimization in various applications.bayeso.readthedocs.io · read 12 Oct 2026
- License
- BayesO is licensed under the MIT License.bayeso.readthedocs.io · read 12 Oct 2026
- Optimization use
- Bayesian optimization is presented as a strategy for global optimization of black-box and expensive-to-evaluate functions.bayeso.readthedocs.io · read 12 Oct 2026
- Optional packages
- Optional, development, and example dependencies can be installed with the optional, dev, and examples extras.bayeso.readthedocs.io · read 12 Oct 2026
- Other acquisition options
- The API also lists log expected improvement, augmented expected improvement, pure exploitation, and pure exploration.bayeso.readthedocs.io · read 12 Oct 2026
- Purpose
- BayesO is a Python package for Bayesian optimization, designed for advanced or straightforward use across applications.bayeso.readthedocs.io · read 12 Oct 2026
- Scripting support
- Yesbayeso.readthedocs.io · read 23 Sep 2026
- Security and compliance
- The opened documentation pages do not state security or compliance certifications.bayeso.readthedocs.io · read 12 Oct 2026
- Supported Python
- The project says it tests Python versions 3.8 through 3.12.bayeso.readthedocs.io · read 12 Oct 2026
- Surrogate models
- The package includes Gaussian process regression and Student-t process regression surrogate functions.bayeso.readthedocs.io · read 12 Oct 2026
