/// <summary>
/// Turns the string name of a classifier into a weka classifier of the appropriate type. Also deals with options.
/// </summary>
/// <param name="classifier">The classifier to use.</param>
/// <returns>A weka compatable classifier</returns>
private static weka.classifiers.Classifier GetClassifier(Classifier myClassifier)
{
switch (myClassifier)
{
case Classifier.J48:
return(new weka.classifiers.trees.J48());
case Classifier.NaiveBayes:
return(new weka.classifiers.bayes.NaiveBayes());
case Classifier.MLP:
// http://weka.sourceforge.net/doc/weka/classifiers/functions/MultilayerPerceptron.html#setOptions(java.lang.String[])
weka.classifiers.functions.MultilayerPerceptron cls = new weka.classifiers.functions.MultilayerPerceptron();
cls.setOptions(new string[] { "-H", "a" });
return(cls);
case Classifier.AdaBoost_J48:
weka.classifiers.meta.AdaBoostM1 cls_ab_j48 = new weka.classifiers.meta.AdaBoostM1();
cls_ab_j48.setOptions(new string[] { "-W", "weka.classifiers.trees.J48" });
return(cls_ab_j48);
case Classifier.AdaBoost_Stump:
weka.classifiers.meta.AdaBoostM1 cls_ab_stump = new weka.classifiers.meta.AdaBoostM1();
cls_ab_stump.setOptions(new string[] { "-W", "weka.classifiers.trees.DecisionStump" });
return(cls_ab_stump);
default:
Console.WriteLine("You did not specify a supported classifier type.");
return(null);
}
}
