public void TestK2Structure()
{
String[] labels = { "available", "not" };
IMLDataSet data = new BasicMLDataSet(DATA, null);
BayesianNetwork network = new BayesianNetwork();
BayesianEvent x1 = network.CreateEvent("x1", labels);
BayesianEvent x2 = network.CreateEvent("x2", labels);
BayesianEvent x3 = network.CreateEvent("x3", labels);
network.FinalizeStructure();
TrainBayesian train = new TrainBayesian(network, data, 10);
train.InitNetwork = BayesianInit.InitEmpty;
while (!train.TrainingDone)
{
train.Iteration();
}
train.Iteration();
Assert.IsTrue(x1.Parents.Count == 0);
Assert.IsTrue(x2.Parents.Count == 1);
Assert.IsTrue(x3.Parents.Count == 1);
Assert.IsTrue(x2.Parents.Contains(x1));
Assert.IsTrue(x3.Parents.Contains(x2));
Assert.AreEqual(0.714, network.GetEvent("x2").Table.FindLine(1, new int[] { 1 }).Probability, 0.001);
}
/// <inheritdoc/>
public void Init(TrainBayesian theTrainer, BayesianNetwork theNetwork, IMLDataSet theData)
{
_network = theNetwork;
_data = theData;
_train = theTrainer;
OrderNodes();
_index = -1;
}
/// <inheritdoc/>
public void Init(TrainBayesian theTrainer, BayesianNetwork theNetwork, IMLDataSet theData)
{
_network = theNetwork;
_data = theData;
_train = theTrainer;
OrderNodes();
_index = -1;
}
/// <inheritdoc/>
public void Init(TrainBayesian theTrainer, BayesianNetwork theNetwork,
IMLDataSet theData)
{
}
/// <inheritdoc/>
public void Init(TrainBayesian theTrainer, BayesianNetwork theNetwork, IMLDataSet theData)
{
_network = theNetwork;
_data = theData;
_index = 0;
}
/// <inheritdoc/>
public void Init(TrainBayesian theTrainer, BayesianNetwork theNetwork,
IMLDataSet theData)
{
}
/// <inheritdoc/>
public void Init(TrainBayesian theTrainer, BayesianNetwork theNetwork, IMLDataSet theData)
{
_network = theNetwork;
_data = theData;
_index = 0;
}
