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 |
cancorRed |
Calculate first canonical correlation |
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 |
fitEnsembleKDSN |
Fit an ensemble of KDSN (experimental) |
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 |
kernDeepStackNet_crossprodRcpp |
Calculates the cross product of a matrix |
kernDeepStackNet_getEigenValuesRcpp |
Calculates the eigenvalues of a matrix |
lossApprox |
Kernel deep stacking network loss function |
lossCvKDSN |
Kernel deep stacking network loss function based on cross-validation |
lossGCV |
Generalized cross-validation loss |
lossSharedCvKDSN |
Kernel deep stacking network loss function based on cross-validation and shared hyperparameters |
lossSharedTestKDSN |
Kernel deep stacking network loss function with test set and shared hyperparameters |
mbo1d |
Efficient global optimization with iterative point proposals |
mboAll |
Efficient global optimization inclusive meta model validation |
optimize1dMulti |
One dimensional optimization of multivariate loss functions |
predict.KDSN |
Predict kernel deep stacking networks |
predict.KDSNensemble |
Predict kernel deep stacking networks ensembles (experimental) |
predict.KDSNensembleDisk |
Predict kernel deep stacking networks ensembles (experimental) |
predLogProb |
Predictive logarithmic probability of Kriging model |
randomFourierTrans |
Random Fourier transformation |
rdcPart |
Randomized dependence coefficient partial calculation |
rdcSubset |
Randomized dependence coefficients score on given subset |
rdcVarOrder |
Variable ordering using randomized dependence coefficients (experimental) |
rdcVarSelSubset |
Variable selection based on RDC with genetic algorithm (experimental) |
robustStandard |
Robust standardization |
tuneMboLevelCvKDSN |
Tuning of KDSN with efficient global optimization given level by cross-validation |
tuneMboLevelGcvKDSN |
Tuning of KDSN with efficient global optimization given level by cross-validation |
tuneMboSharedCvKDSN |
Tuning of KDSN with efficient global optimization given level by cross-validation and shared hyperparameters |
tuneMboSharedSubsetKDSN |
Tuning subsets of KDSN with efficient global optimization and shared hyperparameters (experimental) |
varMu |
Variance function evaluated at expected value |