static void Main(string[] argv)
{
modshogun.init_shogun_with_defaults();
int degree = 3;
int C = 1;
string[] fm_train_dna = {"CGCACGTACGTAGCTCGAT", "CGACGTAGTCGTAGTCGTA", "CGACGGGGGGGGGGTCGTA", "CGACCTAGTCGTAGTCGTA", "CGACCACAGTTATATAGTA", "CGACGTAGTCGTAGTCGTA", "CGACGTAGTTTTTTTCGTA", "CGACGTAGTCGTAGCCCCA", "CAAAAAAAAAAAAAAAATA", "CGACGGGGGGGGGGGCGTA"};
string[] fm_test_dna = {"AGCACGTACGTAGCTCGAT", "AGACGTAGTCGTAGTCGTA", "CAACGGGGGGGGGGTCGTA", "CGACCTAGTCGTAGTCGTA", "CGAACACAGTTATATAGTA", "CGACCTAGTCGTAGTCGTA", "CGACGTGGGGTTTTTCGTA", "CGACGTAGTCCCAGCCCCA", "CAAAAAAAAAAAACCAATA", "CGACGGCCGGGGGGGCGTA"};
StringCharFeatures feats_train = new StringCharFeatures(fm_train_dna, DNA);
StringCharFeatures feats_test = new StringCharFeatures(fm_test_dna, DNA);
WeightedDegreeStringKernel kernel = new WeightedDegreeStringKernel(feats_train, feats_train, degree);
double[][] label_train_dna = { new double[] { -1, -1, -1, -1, -1, 1, 1, 1, 1, 1 } };
Labels labels = new Labels(new DoubleMatrix(label_train_dna));
SVMLight svm = new SVMLight(C, kernel, labels);
svm.train();
DomainAdaptationSVM dasvm = new DomainAdaptationSVM(C, kernel, labels, svm, 1.0);
dasvm.train();
DoubleMatrix @out = dasvm.apply(feats_test).get_labels();
modshogun.exit_shogun();
}
internal static HandleRef getCPtr(DomainAdaptationSVM obj) {
return (obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr;
}
internal static HandleRef getCPtr(DomainAdaptationSVM obj)
{
return((obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr);
}
