Sequential Parameter Optimization Toolbox


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Documentation for package ‘SPOT’ version 1.0.5543

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D F P S T

SPOT-package Sequential Parameter Optimization Toolbox in R

-- D --

daceBuilder Build DACE model
dacePredictor DACE predictor

-- F --

forrBuilder Build Forrester Kriging
forrCoBuilder Build Forrester Co-Kriging
forrCoRegPredictor Predict Forrester Co-Kriging Model
forrRegPredictor Predict Forrester Model
forrReintPredictor Predict Forrester Model (Re-interpolating)

-- P --

predict.forr Predict Forrester Model

-- S --

SPOT Sequential Parameter Optimization Toolbox in R
spot Main function for the use of SPOT
spotAlgEs Evolution Strategy Implementation
spotAlgStartEs Interface for an Evolution Strategy to be tuned by SPOT...
spotAlgStartEsGlg Algorithm Interface to ES + GLG
spotAlgStartEsVar Interface for an Evolution Strategy to be robustly tuned by SPOT...
spotAlgStartRgp Interface for RGP to be tuned by SPOT
spotAlgStartSann Interface for SANN to be tuned by SPOT
spotAlgStartSannVar Interface for SANN to be tuned robustly by SPOT
spotAlgStartSmsEmoaGlg Algorithm Interface to ES + GLG
spotBraninFunction Single objective test functions for SPOT
spotCreateDesignBasicDoe spotCreateDesignBasicDoe
spotCreateDesignFactors spotCreateDesignFactors
spotCreateDesignFrF2 spotCreateDesignFrF2
spotCreateDesignLhd spotCreateDesignLhd
spotCreateDesignLhs spotCreateDesignLhs
spotCreateDesignLhsOpt spotCreateDesignLhsOpt
spotEnsembleMultiAlternate spotEnsembleMultiAlternate
spotEnsembleMultiAverage spotEnsembleMultiAverage
spotEnsembleMultiChoose spotEnsembleMultiChoose
spotEnsembleMultiRank spotEnsembleMultiRank
spotEnsembleMultiRankWeighted spotEnsembleMultiRankWeighted
spotEnsembleSingleBLAbern Single Ensemble: BLAbern
spotEnsembleSingleBLAnorm Single Ensemble: BLAnorm
spotEnsembleSingleEpsGreedy Single Ensemble: Epsilon Greedy
spotEnsembleSinglePOKER Single Ensemble: POKER
spotEnsembleSingleRoundSearch Single Ensemble: RoundSearch
spotEnsembleSingleSoftMax Single Ensemble: SoftMax
spotEnsembleSingleUCB1 Single Ensemble: UCB1
spotFeedback Ensemble Feedback Functions
spotFeedback.deviation Ensemble Feedback Functions
spotFeedback.error.combo Ensemble Feedback Functions
spotFeedback.error.full Ensemble Feedback Functions
spotFeedback.error.last Ensemble Feedback Functions
spotFeedback.error.order Ensemble Feedback Functions
spotFeedback.reward.bern Ensemble Feedback Functions
spotFeedback.reward.norm Ensemble Feedback Functions
spotFeedback.sd.interSubModelsFull Ensemble Feedback Functions
spotFeedback.y Ensemble Feedback Functions
spotGetOptions Set all options by conf-file or by default
spotGlgCreate Create Gaussian Landscape
spotGlgCreateN Create Gaussian Landscape (multiple)
spotGlgCreateRot Create Gaussian Landscape (rotated)
spotGlgCreateRotSearched Create Gaussian Landscape (rotated) with random search
spotGlgEval Gaussian Landscape Evaluation
spotGlgEvalN Gaussian Landscape Evaluation (multiple)
spotGlgEvalRot Gaussian Landscape Evaluation (rotated)
spotGlgInit Initialize Gaussian Landscape
spotGlgInitN Initialize Gaussian Landscape (multiple)
spotGui Start the SPOT GUI
spotInfillExpImp Neg. Log. of Expected Improvement Infill Criterion
spotInfillHyperVolume MCO Infill Criterion
spotInfillLcbHyperVolume Hypervolume Lower Confidence Bound Infill Criterion
spotInfillLcbMulti Lower Confidence Bound Infill Criterion
spotInfillLcbSingle Single objective lower confidence bound
spotInfillProbImp Probability of Improvement Infill Criterion
spotInfillSD Neg. SD Infill Criterion
spotInfillSExI2d S-metric Expected Improvement SExI Infill Criterion
spotMexicanHatFunction Single objective test functions for SPOT
spotModel.func Model Prediction Interface
spotModel.predict Model Prediction Interface
spotModel.train Model Training Interface
spotModelDescentLm Steepest Descent on RSM (linear model)
spotModelOptim Optimize predicted meta model
spotModelParetoOptim Multi criteria optimization of predicted surrogate models
spotOcba Optimal Computing Budget Allocation OCBA for SPOT
spotOptim spotOptim: optim-like spot interface
spotOptimEs spotOptimEs: optim-like ES interface
spotOptimInterface Interface for Target Functions
spotOptimizationInterface spotOptimizationInterface
spotOptimizationInterfaceMco spotOptimizationInterfaceMco
spotOptimLHS spotOptimLHS
spotPenalizeMissingValues Penalize Missing Values
spotPredictCoForrester Meta Model Interface: Forrester's Co-Kriging
spotPredictDace Meta Model Interface: DACE Kriging
spotPredictDice Meta Model Interface: Dice Kriging
spotPredictEarth Meta Model Interface: Multivariate Adaptive Regression Spline
spotPredictEsvm Meta Model Interface: Support Vector Machine
spotPredictForrester Meta Model Interface: Forrester's Kriging
spotPredictGausspr Meta Model Interface: Gaussian Processes
spotPredictKrig Meta Model Interface: Fields Kriging
spotPredictKsvm Meta Model Interface: Support Vector Machine
spotPredictLm Meta Model Interface: Linear Model
spotPredictLmFactor Meta Model Interface: Linear model with factors for SPOT
spotPredictMCO Meta Model Interface: Multi Criteria Modelling
spotPredictMlegp Meta Model Interface: Maximum Likelihood Estimation for Gaussian Processes, Kriging
spotPredictMLP Meta Model Interface: Multi-layer Perceptron
spotPredictNeuralnet Meta Model Interface: Neural network
spotPredictQrnn Meta Model Interface: Quantile Regression Neural Network
spotPredictRandomForest Meta Model Interface: Random Forest
spotPredictRandomForestMlegp Meta Model Interface: Random Forest combined with Mlegp
spotPredictTgp Meta Model Interface: Treed Gaussian Processes
spotPredictTree Meta Model Interface: Tree
spotRastriginFunction Single objective test functions for SPOT
spotReadBstFile Read .bst File
spotReadRoi Spot Read ROI
spotRepairMissingValues Repair Missing Values
spotRepairMissingValuesCoKriging Repair Missing Values
spotReport3d 3d Plot of Meta Model - Report Function
spotReportContour Model Contour Plot - Report Function
spotReportDefault Default Report
spotReportEarth Earth Report
spotReportMAMP MAMP Model Report
spotReportMetaDefault Default Report for Meta Runs
spotReportSAMP SAMP Model Report
spotReportSens Sensitivity Report
spotROI Region Of Interest Constructor
spotRosenbrockFunction Single objective test functions for SPOT
spotRosenbrockGradientFunction Single objective test functions for SPOT
spotSelectionAdjustedRsq Model selection and error estimation
spotSelectionAic Model selection and error estimation
spotSelectionCriteria Model selection and error estimation
spotSelectionMae Model selection and error estimation
spotSelectionMse Model selection and error estimation
spotSelectionRmse Model selection and error estimation
spotSelectionRsq Model selection and error estimation
spotSelectionSae Model selection and error estimation
spotSelectionScaledMse Model selection and error estimation
spotSelectionScaledRmse Model selection and error estimation
spotSelectionScaledSse Model selection and error estimation
spotSelectionSse Model selection and error estimation
spotSExI2d S-metric Expected Improvement SExI Infill Criterion
spotSixHumpFunction Single objective test functions for SPOT
spotSmsEmoa SMS-EMOA: S-Metric-Selection Evolutionary Multi-objective Optimization Algorithm
spotSmsEmoaKriging SMS-EMOA: S-Metric-Selection Evolutionary Multi-objective Optimization Algorithm
spotSphere1Function Single objective test functions for SPOT
spotSphereFunction Single objective test functions for SPOT
spotStepAutoOpt SPOT Step Auto Opt
spotStepInitial SPOT Step: Initialize (First SPOT- Step)
spotStepMetaOpt SPOT Step Meta
spotStepReport SPOT Step Report
spotStepRunAlg SPOT Step Algorithm Call
spotStepSequential SPOT Step Sequential
spotSurf3d spotSurf3d
spotSurfContour spotSurfContour
spotWildFunction Single objective test functions for SPOT
spotWriteAroi Spot Write Aroi

-- T --

Testfunctions Single objective test functions for SPOT