Configuration           liquidSVM model configuration parameters.
banana                  'banana-bc.train', 'banana-bc.test'
                        'banana-mc.train', and 'banana-mc.test'
bsSVM                   Bootstrap
clean.liquidSVM         Force to release the internal memory of the C++
                        objects associated to this model.
command-args            liquidSVM command line options
compilationInfo         Compilation information: whether the library
                        was compiled using SSE2 or even AVX.
errors                  Obtain the test errors result.
exSVM                   Expectile Regression
getCover                Get Cover of partitioned SVM
getSolution             Retrieve the solution of an SVM
init.liquidSVM          Initialize an SVM object.
kern                    Calculates the kernel matrix.
liquidData              Loads or downloads training and testing data
liquidSVM-class         A Reference Class to represent a liquidSVM
                        model.
liquidSVM-package       liquidSVM for R
lsSVM                   Least Squares Regression
mcSVM                   Multiclass Classification
mlr-liquidSVM           liquidSVM functions for mlr
nplSVM                  Neyman-Pearson-Learning
plotROC                 Plots the ROC curve for a result or model
predict.liquidSVM       Predicts labels of new data using the selected
                        SVM.
print.liquidSVM         Printing an SVM model.
qtSVM                   Quantile Regression
read.liquidSVM          Read and Write Solution from and to File
reg-1d                  'reg-1d.train' and 'reg-1d.test'
rocSVM                  Receiver Operating Characteristic curve (ROC
                        curve)
selectSVMs              Selects the best hyper-parameters of all the
                        trained SVMs.
setDisplay              Set display info mode that controls how much
                        information is displayed by liquidSVM C++
                        routines. Usually you will use 'display=d' in
                        'svm(...)' etc.
svm                     Convenience function to initialize, train,
                        select, and optionally test an SVM.
test.liquidSVM          Tests new data using the selected SVM.
trainSVMs               Trains an SVM object.
write.liquidData        Write Smldata
