public static void TestOnlineTraining(this IOnlineClassifier c)
{
// train on an initial set of random examples
c.Train(GetExamples(10));
// now try a new set with no correlation to the previous one
var examples = GetExamples();
var test = examples.SubView(0, (.1 * examples.Count).Rounded());
var train = examples.SubView(test.Count, examples.Count - test.Count);
c.TrainMore(train);
// accuracy test
double minAccuracy = 0.6;
if (c.AccuracyOn(train) < minAccuracy)
{
throw new Exception("Training accuracy < " + minAccuracy);
}
if (c.AccuracyOn(test) < minAccuracy)
{
throw new Exception("Test accuray < " + minAccuracy);
}
}
/// <summary>
/// TrainMore, but with a single example
/// </summary>
public static void TrainMore(this IOnlineClassifier classifier, Example labeledExample)
{
classifier.TrainMore(labeledExample.NCopies(1));
}
