Repository navigation

GPopt

Public

About

Bayesian optimization using Gaussian Process regression or conformal prediction (Python)

techtonique.github.io/GPopt/

bayesian-optimization bayesian-statistics hyperparameter-tuning hyperparameters machine-learning optimization optimization-algorithms

BSD-3-Clause-Clear license

Custom properties

4 stars

1 watching

Report repository

Name		Name	Last commit message	Last commit date
.github		.github
GPopt		GPopt
docs		docs
examples		examples
gpopt-docs		gpopt-docs
tests		tests
.DS_Store		.DS_Store
.db		.db
.gitignore		.gitignore
CHANGES.md		CHANGES.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
Makefile		Makefile
README.md		README.md
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py
update_docs.sh		update_docs.sh

Repository files navigation

GPopt

Bayesian Optimization using Gaussian Process Regression

Installation / Usage

To install use pip:

$ pip install GPopt

Examples

License

BSD 3-Clause Clear © Thierry Moudiki, 2019.

About

Bayesian optimization using Gaussian Process regression or conformal prediction (Python)

techtonique.github.io/GPopt/

bayesian-optimization bayesian-statistics hyperparameter-tuning hyperparameters machine-learning optimization optimization-algorithms

BSD-3-Clause-Clear license

Custom properties

4 stars

1 watching

Report repository

Releases

Sponsor this project

Packages

Used by

Contributors

Languages