public void TrainAndTest(IEnumerable <ItemRating> trainSet, IEnumerable <ItemRating> testSet)
{
var problem = new SvmProblem()
{
X = trainSet.Select(ir => FeatureBuilder.GetSvmNode(ir)).ToArray(),
Y = trainSet.Select(ir => LabelSelector(ir)).ToArray()
};
Parameters.Check(problem);
Console.WriteLine("Writing training samples...");
WriteSvmFile(problem, "train.libsvm");
Console.WriteLine("LibSvm training...");
LibSvm.SvmModel model = Svm.Train(problem, Parameters);
var predictedClasses = new List <float>();
Console.WriteLine("LibSvm testing...");
foreach (var ir in testSet)
{
ir.PredictedRating = (float)model.Predict(FeatureBuilder.GetSvmNode(ir));
predictedClasses.Add(ir.PredictedRating);
}
Console.WriteLine("Writing output...");
File.WriteAllLines("output.libsvm", predictedClasses.Select(i => i.ToString()));
}