mloss | Projects authored by ruben martinez cantin.

BayesOpt, a Bayesian Optimization toolbox 0.8.2

by rmcantin - December 9, 2015, 04:53:31 CET [ ] 69067 views, 13620 downloads, 0 subscriptions

About: BayesOpt is an efficient, C++ implementation of the Bayesian optimization methodology for nonlinear-optimization, experimental design and stochastic bandits. In the literature it is also called Sequential Kriging Optimization (SKO) or Efficient Global Optimization (EGO). There are also interfaces for C, Matlab/Octave and Python.

Changes:

-Fixed bug in save/restore. -Fixed bug in initial design.

Authors: Ruben Martinez Cantin
License: Agpl V3
Programming Language: C++, Python, Matlab, Octave, C

Operating System: Linux, Windows, Macos
Data Formats: Agnostic
Tags: Active Learning, Optimization, Experimental Design, Gaussian Process, Bandits, Bayesian Optimization

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BayesOpt, a Bayesian Optimization toolbox 0.8.2