addSVMPackage | Make a new SVM package known to the bridge. |
appendSparseDataToFile | appendSparseDataToFile |
checkExecutionStrings | Check whether a binary's output contains given strings. |
checkModel | Check model. |
clearSVMObjects | Clear all SVM Objects (by removing them from the internal... |
createSVMWrapperInternal | General class for any SVM wrapper. |
detectModelTypeFromFile | Detect model type from file. |
expandTilde | Expand path with tilde |
findAllSVMSoftware | Find All SVM Software |
findBinaryInDirectory | Find a given binary in given directory. |
findSVMSoftware | Find software for an SVM package. |
findSVMWrapper | Find a given SVM Wrapper inside a search path. |
getSupportedSVMProperties | Return supported SVM properties. |
getSVMMethodsAsList | getSVMMethodsAsList |
getSVMObject | getSVMObject |
getSVMParamSet | getSVMParamSet |
predictSVM | Do prediction with a trained SVM on given data. |
readLIBSVMModel | Read a model in LIBSVM format |
readLIBSVMPredictions | Read predictions produced by LIBSVM |
readModelFromFile | Read a model from a given file |
readSparseData | Read a given file in sparse (LIBSVM) format to dense R matrix... |
readSparseDataFromConnection | Read sparse data from an open connection. |
setSVMObject | Set an SVM object into the environment. |
subsampleDataByCutoff | subsampleDataByCutoff Subsample Data by cutting off (a copy... |
SVMBridge | SVMBridge |
system3 | System call substitute to allow for more verbose output |
testSVM | Test a trained SVM on given data. |
trainSVM | Train an SVM. |
writeLIBSVMModel | Write LIBSVM model. |
writeModelToFile | Write a given model to a file. |
writeSparseData | Write given (dense) R matrix and R vector in sparse (LIBSVM)... |
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