A Pure R implementation of Bayesian Global Optimization with Gaussian Processes.

Install the latest version of this package by entering the following in R:

`install.packages("rBayesianOptimization")`

Author | Yachen Yan [aut, cre] |

Date of publication | 2016-09-14 21:44:11 |

Maintainer | Yachen Yan <yanyachen21@gmail.com> |

License | GPL-2 |

Version | 1.1.0 |

http://github.com/yanyachen/rBayesianOptimization |

**BayesianOptimization:** Bayesian Optimization

**KFold:** K-Folds cross validation index generator

**Matrix_runif:** Matrix runif

**Min_Max_Inverse_Scale_Vec:** MinMax Inverse Scaling

**Min_Max_Scale_Mat:** Matrix MinMax Scaling

**rBayesianOptimization:** rBayesianOptimization: Bayesian Optimization of...

**Utility:** Utility Computing Function

**Utility_Max:** Utility Maximization Function

NAMESPACE

R

R/Utils.R
R/Utility.R
R/Utility_Max.R
R/rBayesianOptimization.R
R/BayesianOptimization.R
R/KFold.R
MD5

DESCRIPTION

man

man/Matrix_runif.Rd
man/rBayesianOptimization.Rd
man/BayesianOptimization.Rd
man/Min_Max_Inverse_Scale_Vec.Rd
man/KFold.Rd
man/Min_Max_Scale_Mat.Rd
man/Utility.Rd
man/Utility_Max.Rd
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.

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