private void ConfigureNewTraining()
{
GlobalTrainerConfiguration = _configurationManager.GetGlobalTrainerConfiguration();
Training1Parameters = _configurationManager.GetTraining1Parameters();
Training2Parameters = _configurationManager.GetTraining2Parameters();
try
{
var learningFacade = new LearningFacade(DataProviderConfiguration, GlobalTrainerConfiguration, SkipPhaseRequest, this);
AvailableCategories = new ObservableCollection <Category>(learningFacade.GetAvailableCategories());
ProgramState = ProgramState.ConfiguringTraining;
}
catch (Exception e)
{
const string errorMessage = "Problem with creating new training configuration.";
LogWriteLine($"{errorMessage} Error: {e.Message}");
NLogLogger.Error(e, errorMessage);
}
}
private async void StartTraining()
{
if (IsCategoriesSelectionInvalid())
{
LogWriteLine("You cannot start a training until at least 2 categories are selected.");
return;
}
ProgramState = ProgramState.TrainingInProgress;
var learningFacade = new LearningFacade(DataProviderConfiguration, GlobalTrainerConfiguration, SkipPhaseRequest, this);
var categories = GetSelectedCategories();
var trainingParameters = new TrainingParameters
{
Training1Parameters = Training1Parameters,
Training2Parameters = Training2Parameters,
SelectedCategories = categories.ToList(),
};
try
{
_cts = new CancellationTokenSource();
_classifierFacade = await learningFacade.RunTrainingForSelectedCategories(trainingParameters, _cts.Token);
ProgramState = ProgramState.ClassifierReady;
}
catch (Exception e)
{
const string errorMessage = "Problems during training.";
LogWriteLine($"{errorMessage} Error: {e.Message}");
NLogLogger.Error(e, errorMessage);
ReturnToInitialWithSaving();
}
}
