Sequential Parameter Optimization Toolbox


[Up] [Top]

Documentation for package ‘SPOT’ version 2.4.2

Help Pages

B C D E F G I M N O P R S T W

SPOT-package Sequential Parameter Optimization Toolbox

-- B --

buildBO Bayesian Optimization Model Interface
buildCVModel buildCVModel
buildEnsembleStack Ensemble: Stacking
buildGaussianProcess Gaussian Process Model Interface
buildKriging Build Kriging Model
buildKrigingDACE Build DACE model
buildLasso Lasso Model Interface
buildLM Linear Model Interface
buildLOESS Build LOESS Model
buildRandomForest Random Forest Interface
buildRanger ranger Interface
buildRSM Build Response Surface Model
buildTreeModel Tree Regression Interface

-- C --

checkArrival checkArrival
code2nat Transform coded values to natural values

-- D --

dataGasSensor Gas Sensor Data
descentSpotRSM Descent RSM model
designLHD Latin Hypercube Design Generator
designUniformRandom Uniform Design Generator
diff0 diff0
doParallel Parallel execution of code, dependent on the operating system

-- E --

evalMarkovChain evalMarkovChain
expectedImprovement Expected Improvement

-- F --

funBaBSimHospital Optimization of the BaBSim.Hospital Simulator
funBBOBCall funBBOBCall
funBranin funBranin
funCosts funCosts
funCyclone Objective function - Cyclone Simulation: Barth/Muschelknautz
funGoldsteinPrice Goldstein-Price Test Function
funIshigami Ishigami Test Function
funMarkovChain funMarkovChain
funOptimLecture funOptimLecture
funRosen funRosen
funRosen2 funRosen2
funSoblev99 Sobol and Levitan Test Function
funSphere funSphere
funSring funSring

-- G --

generateMCPrediction generateMCPrediction
getCosts getCosts
getNatDesignFromCoded Get natural parameter values from coded +-1 representation

-- I --

infillEI Expected Improvement Infill Criterion
infillExpectedImprovement infillExpectedImprovement
init_ring init_ring

-- M --

modelMarkovChain modelMarkovChain

-- N --

normalizeMatrix Normalize design
normalizeMatrix2 Normalize design 2

-- O --

optimDE Minimization by Differential Evolution
optimES Evolution Strategy
optimGenoud Minimization by GENetic Optimization Using Derivatives
optimLBFGSB Minimization by L-BFGS-B
optimLHD Minimization by Latin Hypercube Sampling
optimNLOPTR optimNLOPTR. Minimization by NLOPT

-- P --

parseTunedRegionModel parseTunedRegionModel
perceptron perceptron
plotBestObj Plot Best Objective Value
plotData Interpolated plot
plotFunction Surface plot of a function
plotModel Surface plot of a model
plotPrediction plotPrediction
plotRegion plotRegion
plotRegionByName plotRegionByName
plotSIRModel plotSIRModel
predict.cvModel predict.cvModel
prepareBestObjectiveVal Preprocess y Values to Plot Best Objective Value
preprocessCdeInputData preprocessCdeInputData
preprocessCdeTestData preprocessCdeTestData
preprocessInputData preprocessInputData
preprocessTestData preprocessTestData

-- R --

regionPopulation Region Population Data
regionTest Region Test Data
regionTrain Region Train Data
repeatsOCBA Optimal Computing Budget Allocation
resSpot S-Ring Simulation Data Obtained With SPOT
resSpot2 S-Ring Simulation Data Obtained With SPOT
resTuneRegionModel Tuned Region Model Data
ring ring

-- S --

sann2spot Interface SANN to SPOT
satter Satterthwaite Function
sequentialBifurcation Sequential Bifurcation
simulate.kriging Kriging Simulation
simulateFunction simulateFunction
SPOT Sequential Parameter Optimization Toolbox
spot spot
spotAlgEs Evolution Strategy Implementation
spotCleanup Clean up
spotLoop Sequential Parameter Optimization Main Loop
spotPlotPower spotPlotPower
spotPlotSeverity spotPlotSeverity
spotPower spotPower
spotSeverity spotSeverity
sring sring
sringRes1 S-Ring Simulation Data
sringRes2 S-Ring Simulation Data
sringRes3 S-Ring Simulation Data
subgroups Return effects for each subgroup

-- T --

thetaNugget thetaNugget
thetaNuggetGradient thetaNuggetGradient
tuneRegionModel tuneRegionModel

-- W --

wrapBatchTools wrapBatchTools
wrapFunction Function Evaluation Wrapper
wrapFunctionParallel Parallelized Function Evaluation Wrapper
wrapSystemCommand wrapSystemCommand