public static double[] TestSVM(double [] test_case)
{
double[,] matrix = new double[5, 2];
matrix[0, 0] = 1;
matrix[0, 1] = 1;
matrix[1, 0] = 1;
matrix[1, 1] = 0;
matrix[2, 0] = 0;
matrix[2, 1] = 1;
matrix[3, 0] = 0;
matrix[3, 1] = 0;
matrix[4, 0] = 10;
matrix[4, 1] = 10;
int[] labels = new int[] { 0, 1, 1, 0, 2 };
IDataSet <double, int> training_set = null;// new DataSet<double, int>(ToolsCollection.ConvertToArrayArray(matrix), DataLevel.NOMINAL, labels);
IModelLikelihood <double, int> model = new TemplateModelLibSVMCSVC().GenerateModelLikelihood(training_set);
//double C = 200;
//double gamma = 0.8;
return(model.GetLikelihoods(test_case));
}
public double[] GetLikelihoods(double[] instance_features)
{
svm_node[] testnode = TemplateModelLibSVMCSVC.CreateNodeArray(instance_features);
//This works correctly:
Dictionary <int, double> prediction = svm.PredictProbabilities(testnode);
int[] labels = prediction.Keys.ToArray();
return(ToolsCollection.GetValueArray(prediction, labels));
}
public override int GetLabel(double[] instance_features)
{
svm_node[] testnode = TemplateModelLibSVMCSVC.CreateNodeArray(instance_features);
return((int)svm.Predict(testnode));
}
