Man pages for kernDeepStackNet
Kernel Deep Stacking Networks
| 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... |
| fourierTransPredict | Prediction based on random Fourier transformation |
| gDerivMu | Derivative of the link function evaluated at the expected... |
| getEigenValuesRcpp | Calculates the eigenvalues of a matrix |
| kernDeepStackNet_crossprodRcpp | Calculates the cross product of a matrix |
| kernDeepStackNet_getEigenValuesRcpp | Calculates the eigenvalues of a matrix |
| kernDeepStackNet-package | Kernel deep stacking networks with random Fourier... |
| lossApprox | Kernel deep stacking network loss function |
| lossCvKDSN | Kernel deep stacking network loss function based on... |
| lossGCV | Generalized cross-validation loss |
| lossSharedCvKDSN | Kernel deep stacking network loss function based on... |
| lossSharedTestKDSN | Kernel deep stacking network loss function with test set and... |
| 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... |
| predict.KDSNensembleDisk | Predict kernel deep stacking networks ensembles... |
| 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... |
| rdcVarSelSubset | Variable selection based on RDC with genetic algorithm... |
| robustStandard | Robust standardization |
| tuneMboLevelCvKDSN | Tuning of KDSN with efficient global optimization given level... |
| tuneMboLevelGcvKDSN | Tuning of KDSN with efficient global optimization given level... |
| tuneMboSharedCvKDSN | Tuning of KDSN with efficient global optimization given level... |
| tuneMboSharedSubsetKDSN | Tuning subsets of KDSN with efficient global optimization and... |
| varMu | Variance function evaluated at expected value |
