py-bayesopt

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A toolbox for bayesian optimization, experimental design and stochastic bandits.

Copied fromcf-post-staging / py-bayesopt

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Installation

To install this package, run one of the following:

Conda

$conda install conda-forge::py-bayesopt

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Description

BayesOpt is an efficient implementation of the Bayesian optimization methodology for nonlinear optimization, experimental design and hyperparameter tunning.

About

Summary

A toolbox for bayesian optimization, experimental design and stochastic bandits.

Last Updated

Oct 11, 2024 at 05:01

License

AGPL-3.0-only

Supported Platforms

linux-64

Home

https://github.com/rmcantin/bayesopt