Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization

C++ Python Submitted 22 January 2018Published 26 June 2018
Review

Editor: @arfon (all papers)
Reviewers: @dfm (all reviews)

Authors

Antoine Cully (0000-0002-3190-7073), Konstantinos Chatzilygeroudis (0000-0003-3585-1027), Federico Allocati, Jean-Baptiste Mouret (0000-0002-2513-027X)

Citation

Cully et al., (2018). Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization . Journal of Open Source Software, 3(26), 545, https://doi.org/10.21105/joss.00545

Copy citation string · Copy BibTeX  
Tags

Gaussian Processes Bayesian Optimization C++11

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066