/// <summary>
/// Private method that trains a model on the current fold
/// </summary>
/// <param name="foldDirectories">Directory in which all the folds are placed</param>
/// <param name="fold">the current fold under computation</param>
/// <param name="concatenatedFile">training file that was created for this fold</param>
/// <param name="silent">whether or not to be silent on the screen</param>
/// <param name="learner">The svm learner with the relevant parameters</param>
private void TrainFold(String[] foldDirectories, int fold, String concatenatedFile, bool silent,
SVMLearn learner)
{
learner.ExecuteLearner("svm_learn.exe", concatenatedFile, Path.Combine(foldDirectories[fold], fold + ".model"),
null, Path.Combine(foldDirectories[fold], fold + ".log.txt"), silent);
}
/// <summary>
/// Private method that trains a model on the current fold
/// </summary>
/// <param name="foldDirectories">Directory in which all the folds are placed</param>
/// <param name="fold">the current fold under computation</param>
/// <param name="concatenatedFile">training file that was created for this fold</param>
/// <param name="silent">whether or not to be silent on the screen</param>
/// <param name="learner">The svm learner with the relevant parameters</param>
private void TrainFold(String[] foldDirectories, int fold, String concatenatedFile, bool silent,
SVMLearn learner)
{
learner.ExecuteLearner("svm_learn.exe", concatenatedFile, Path.Combine(foldDirectories[fold], fold + ".model"),
Path.Combine(foldDirectories[fold], fold + ".log.txt"), silent);
}
