internal void RequestTraining(IObservationSet trainingSet, LearningOptions options)
{
if (trainingSet == null)
{
throw new ArgumentNullException();
}
ILearningTask learningTask
= new LearningTask(
Guid.NewGuid().ToString(),
trainingSet,
options);
learningTask.BayesianNetworkStarted += OnLearningStarted;
learningTask.BayesianNetworkFinished += OnLearningFinished;
Model.LearningTasks.Clear();
Model.LearningTasks.Add(learningTask);
xLearningInspector.SetIsLearning(true);
}
public LearningTask(string id, IObservationSet trainingSet, LearningOptions options)
{
Id = id;
TrainingSet = trainingSet;
Options = options;
}
private void xButtonLearn_Click(object sender, RoutedEventArgs e)
{
var trainingSet = _trainingSet;
if (trainingSet == null)
{
return;
}
LearningOptions options = new LearningOptions();
// Prior
options.DistributionDirichletAlpha = _dirichletAlpha;
// Structure
if (xRadStructureDisconnected.IsChecked == true)
{
options.Structure = LearningOptions.StructureEnum.DisconnectedStructure;
}
else if (xRadStructureRandom.IsChecked == true)
{
options.Structure = LearningOptions.StructureEnum.RandomStructure;
options.StructureSeed =
(int)
DateTime.UtcNow
.Subtract(DateTime.UtcNow.Date)
.TotalMilliseconds;
}
else if (xRadStructureTree.IsChecked == true)
{
options.Structure = LearningOptions.StructureEnum.TreeStructure;
}
else if (xRadStructureGeneral.IsChecked == true)
{
options.Structure = LearningOptions.StructureEnum.GeneralStructure;
}
else
{
return;
}
// Parent limit
options.StructureParentLimit = _parentLimit;
App.Current.MainWindow.RequestTraining(trainingSet, options);
}
public LearningTask(string id, IObservationSet trainingSet, LearningOptions options)
{
Id = id;
TrainingSet = trainingSet;
Options = options;
}
