public void TestCostFunctionAccumulation()
{
NNetwork network = NNetwork.SigmoidNetwork(new int[] { 2, 4, 3 });
NetworkTrainer trainer = new NetworkTrainer(network);
double[] train_set = new[] { 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1 };
Assert.Throws(typeof(NoErrorInfoYetException), () => trainer.GetError());
double error;
trainer.TrainPrediction(train_set);
error = trainer.GetError();
Assert.AreNotEqual(error, 0);
trainer.TrainPrediction(train_set);
Assert.AreNotEqual(error, trainer.GetError());
}
public void TrainPrediction()
{
NNetwork network = NNetwork.SigmoidNetwork(new int[] { 5, 2, 2 });
NetworkTrainer trainer = new NetworkTrainer(network);
double[] train_set = new double[] { 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1 };
trainer.TrainPrediction(train_set);
//todo
}
