A Bridge to Integrate Different 'SVM' Solvers into R

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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