public void TestRPROPContPersistEG()
{
IMLDataSet trainingSet = XOR.CreateXORDataSet();
BasicNetwork net1 = XOR.CreateUnTrainedXOR();
BasicNetwork net2 = XOR.CreateUnTrainedXOR();
ResilientPropagation rprop1 = new ResilientPropagation(net1, trainingSet);
ResilientPropagation rprop2 = new ResilientPropagation(net2, trainingSet);
rprop1.Iteration();
rprop1.Iteration();
rprop2.Iteration();
rprop2.Iteration();
TrainingContinuation cont = rprop2.Pause();
EncogDirectoryPersistence.SaveObject(EG_FILENAME, cont);
TrainingContinuation cont2 = (TrainingContinuation)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
ResilientPropagation rprop3 = new ResilientPropagation(net2, trainingSet);
rprop3.Resume(cont2);
rprop1.Iteration();
rprop3.Iteration();
for (int i = 0; i < net1.Flat.Weights.Length; i++)
{
Assert.AreEqual(net1.Flat.Weights[i], net2.Flat.Weights[i], 0.0001);
}
}
public void TestPersistEG()
{
IPopulation pop = Generate();
EncogDirectoryPersistence.SaveObject((EG_FILENAME), pop);
NEATPopulation pop2 = (NEATPopulation)EncogDirectoryPersistence.LoadObject((EG_FILENAME));
Validate(pop2);
}
public void TestPersistEG()
{
PrgPopulation pop = Create();
EncogDirectoryPersistence.SaveObject(EG_FILENAME, pop);
PrgPopulation pop2 = (PrgPopulation)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
Validate(pop2);
}
public void TestPersistEG()
{
BAMNetwork network = Create();
EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
var network2 = (BAMNetwork)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
ValidateBAM(network2);
}
public void TestPersistEG()
{
BasicPNN network = create();
EncogDirectoryPersistence.SaveObject((EG_FILENAME), network);
BasicPNN network2 = (BasicPNN)EncogDirectoryPersistence.LoadObject((EG_FILENAME));
XOR.VerifyXOR(network2, 0.001);
}
public void TestPersistEG()
{
SupportVectorMachine network = Create();
EncogDirectoryPersistence.SaveObject((EG_FILENAME), network);
SupportVectorMachine network2 = (SupportVectorMachine)EncogDirectoryPersistence.LoadObject((EG_FILENAME));
Validate(network2);
}
public void TestDiscPersistEG()
{
HiddenMarkovModel sourceHMM = BuildDiscHMM();
EncogDirectoryPersistence.SaveObject(EG_FILENAME, sourceHMM);
HiddenMarkovModel resultHMM = (HiddenMarkovModel)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
Validate(resultHMM, sourceHMM);
}
public void TestPersistEG()
{
NEATNetwork network = Create();
EncogDirectoryPersistence.SaveObject((EG_FILENAME), network);
NEATNetwork network2 = (NEATNetwork)EncogDirectoryPersistence.LoadObject((EG_FILENAME));
Validate(network2);
}
public void TestPersistEG()
{
BoltzmannMachine network = new BoltzmannMachine(4);
network.SetWeight(1, 1, 1);
network.Threshold[2] = 2;
EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
BoltzmannMachine network2 = (BoltzmannMachine)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
ValidateHopfield(network2);
}
public void TestPersistEG()
{
HopfieldNetwork network = new HopfieldNetwork(4);
network.SetWeight(1, 1, 1);
network.SetProperty("x", 10);
EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
HopfieldNetwork network2 = (HopfieldNetwork)EncogDirectoryPersistence.LoadObject((EG_FILENAME));
ValidateHopfield(network2);
}
public void TestPersistEG()
{
IMLDataSet trainingSet = XOR.CreateXORDataSet();
RBFNetwork network = new RBFNetwork(2, 4, 1, RBFEnum.Gaussian);
SVDTraining training = new SVDTraining(network, trainingSet);
training.Iteration();
XOR.VerifyXOR(network, 0.1);
EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
RBFNetwork network2 = (RBFNetwork)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
XOR.VerifyXOR(network2, 0.1);
}
public void TestPersistMediumEG()
{
BasicNetwork network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 10));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 10));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), false, 10));
network.Structure.FinalizeStructure();
network.Reset();
EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
BasicNetwork network2 = (BasicNetwork)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
double d = EngineArray.EuclideanDistance(network.Structure.Flat.Weights,
network2.Structure.Flat.Weights);
Assert.IsTrue(d < 0.01);
}
