getBestPars: Get the Best Parameter Set

In ParBayesianOptimization: Parallel Bayesian Optimization of Hyperparameters

Get the Best Parameter Set

Description

Returns the N parameter sets which resulted in the maximum scores from FUN.

Usage

getBestPars(optObj, N = 1)

Arguments

optObj	An object of class bayesOpt
N	The number of parameter sets to return

Value

A list containing the FUN inputs which resulted in the highest returned Score. If N > 1, a data.table is returned. Each row is a result from FUN, with results ordered by descending Score.

Examples

scoringFunction <- function(x) {
  a <- exp(-(2-x)^2)*1.5
  b <- exp(-(4-x)^2)*2
  c <- exp(-(6-x)^2)*1
  return(list(Score = a+b+c))
}

bounds <- list(x = c(0,8))

Results <- bayesOpt(
    FUN = scoringFunction
  , bounds = bounds
  , initPoints = 3
  , iters.n = 2
  , gsPoints = 10
)
print(getBestPars(Results))

ParBayesianOptimization documentation built on Oct. 18, 2022, 5:07 p.m.