Man pages for SPOT
Sequential Parameter Optimization Toolbox

buildEnsembleStackEnsemble: Stacking
buildKrigingBuild Kriging Model
buildKrigingDACEBuild DACE model
buildLMLinear Model Interface
buildLOESSBuild LOESS Model
buildRandomForestRandom Forest Interface
buildRSMBuild Response Surface Model
calculationBarthMuschelknautzCyclone Simulation: Barth/Muschelknautz
calculationMothesCyclone Simulation: Mothes
corrcubicCorrelation: Cubic
correxpCorrelation: Exp
correxpgCorrelation: Expg
corrgaussCorrelation: Gauss
corrkrigingCorrelation: Kriging
corrlinCorrelation: Lin
corrnoisygaussCorrelation: Noisy Gauss
corrnoisykrigingCorrelation: Noisy Kriging
corrsphericalCorrelation: Spherical
corrsplineCorrelation: Spline
daceEvalFitEvaluate DACE fit
daceFixThetaFix model parameters DACE
daceGetFitGet DACE fit
daceLikelihoodWrapper for Maximum Likelihood Estimation
daceObjfuncDACE objective function
dacePrepareFitPrepare DACE fit
daceStartParametersStart parameter setup DACE
dataGasSensorGas Sensor Data
descentSpotRSMDescent RSM model
designLHDLatin Hypercube Design Generator
designLHDNormNormalized LHD Design
designUniformRandomUniform Design Generator
duplicateAndReplicateHandlingHandle Duplicates and Replicates
evaluateModelEvaluate Model
expectedImprovementExpected Improvement
funCycloneObjective function - Cyclone Simulation: Barth/Muschelknautz
funSphereSphere Test Function
krigingLikelihoodCalculate negative log-likelihood
normalizeMatrixNormalize design
normalizeMatrix2Normalize design 2
objectiveFunctionEvaluationObjective Function Evaluation
OCBALow Level OCBA
optimDEMinimization by Differential Evolution
optimESEvolution Strategy
optimGenoudMinimization by GENetic Optimization Using Derivatives
optimLBFGSBMinimization by L-BFGS-B
optimLHDMinimization by Latin Hypercube Sampling
optimNLOPTRMinimization by NLOPT
plotDataInterpolated plot
plotFunctionSurface plot of a function
plotModelSurface plot of a model
plot.spotRSMPlot RSM model
predict.daceDACE predictor
predict.ensembleStackPredict Stacked Ensemble
predict.krigingPredict Kriging Model
predictKrigingReinterpolationPredict Kriging Model (Re-interpolating)
predict.spotLinearModelPrediction method for linear model
predict.spotLOESSPredict loess model
predict.spotRandomForestPrediction method for random forest
predict.spotRSMPredict RSM model
printPrint Function DACE Kriging
print.spotLinearModelPrint method for linear model
print.spotLOESSPrint method for loess model
print.spotRandomForestPrint method for random forest
print.spotRSMPrint method for RSM model
regpoly0Regression: Regpoly0
regpoly1Regression: Regpoly1
regpoly2Regression: Regpoly2
repairNonNumericRepair Non-numeric Values
repeatsOCBAOptimal Computing Budget Allocation
repmatrepmat
spotSequential Parameter Optimization
spotAlgEsEvolution Strategy Implementation
spotAlgEsDominantRecospotAlgEsDominantReco
spotAlgEsGetSuccessRateget Success Rate
spotAlgEsHpsTermination hps
spotAlgEsIndividualInitialIndividual Initialization
spotAlgEsInitParentPopInitialize Parent Population
spotAlgEsInterRecospotAlgEsInterReco
spotAlgEsInterRecoBeSw02spotAlgEsInterRecoBeSw02
spotAlgEsMarriageMarriage
spotAlgEsMarriageWithReplaceMarriage with replace
spotAlgEsObjMutationspotAlgEsObjMutation
spotAlgEsSelectionspotAlgEsSelection
spotAlgEsStratMutationspotAlgEsStratMutation
spotAlgEsTerminationTermination
spotControlDefault Control list for spot
spotHelpBslashBackslash operator.
spotLoopSequential Parameter Optimization Main Loop
SPOT-packageSequential Parameter Optimization Toolbox
wrapFunctionFunction Evaluation Wrapper
SPOT documentation built on May 14, 2018, 5:08 p.m.