Kernel Deep Stacking Networks

[Up] [Top]

Documentation for package ‘kernDeepStackNet’ version 1.0.1

Help Pages

kernDeepStackNet-package Kernel deep stacking networks with random Fourier transformation
calcTrA Calculates the trace of the hat matrix
calcTrAFast Calculates the trace of the hat matrix as C version
calcWdiag Calculation of weight matrix
crossprodRcpp Calculates the cross product of a matrix
devStandard Predictive deviance of a linear model
EImod Expected improvement criterion replacement function
fineTuneCvKDSN Fine tuning of random weights of a given KDSN model
fineTuneKDSN Fine tuning of random weights of a given KDSN model
fitKDSN Fit kernel deep stacking network with random Fourier transformations
fourierTransPredict Prediction based on random Fourier transformation
gDerivMu Derivative of the link function evaluated at the expected values
getEigenValuesRcpp Calculates the eigenvalues of a matrix
kernDeepStackNet Kernel deep stacking networks with random Fourier transformation
lossCvKDSN Kernel deep stacking network loss function based on cross-validation
lossGCV Generalized cross-validation loss
lossKDSN Kernel deep stacking network loss function
lossKDSNgivenModel Kernel deep stacking network loss function based on model fit
mbo1d Efficient global optimization in combination with one dimensional search
mboAll Efficient global optimization inclusive meta model validation
optimize1dMulti One dimensional optimization of multivariate loss functions
predict.KDSN Predict kernel deep stacking networks
predLogProb Predictive logarithmic probability of Kriging model
randomFourierTrans Random Fourier transformation
robustStandard Robust standardization
tuneKDSN Tune kernel deep stacking network by direct optimization
tuneLevelGridKDSN Tune kernel deep stacking network by direct optimization over a set of levels
tuneLevelKDSN Tune kernel deep stacking network by direct optimization given level
tuneMboCvKDSN Tuning of KDSN with efficient global optimization and cross-validation
tuneMboKDSN Tuning of KDSN with efficient global optimization
tuneMboLevelCvKDSN Tuning of KDSN with efficient global optimization given level by cross-validation
tuneMboLevelGridKDSN Tuning of KDSN with efficient global optimization over a set of levels
tuneMboLevelKDSN Tuning of KDSN with efficient global optimization given level
varMu Variance function evaluated at expected value