public void Setup()
{
algorithm = new BSWTrainingAlgorithm();
var trainedModel = algorithm.Train(TestEntities.GetTrainingSamples());
bswNeuralNetwork = new BSWNeuralNetwork(trainedModel);
}
private void loadModelButton_Click(object sender, EventArgs e)
{
OpenFileDialog fileDialog = new OpenFileDialog();
fileDialog.Filter = "Json|*.json";
if (fileDialog.ShowDialog() != DialogResult.OK)
{
return;
}
initialTrainingSamples = Persistence.ReadTrainingSamplesFromFile(fileDialog.FileName);
additionalTrainingSamples = new List <Sample>();
bswTrainingAlgorithm = new BSWTrainingAlgorithm();
var initialModel = bswTrainingAlgorithm.Train(initialTrainingSamples);
bswNeuralNetwork = new BSWNeuralNetwork(initialModel);
}
private void InitializedBSW()
{
try
{
initialTrainingSamples = Persistence.ReadTrainingSamplesFromFile("SavedTrainingSamples\\initialTrainingSamples.json");
bswTrainingAlgorithm = new BSWTrainingAlgorithm();
var initialModel = bswTrainingAlgorithm.Train(initialTrainingSamples);
bswNeuralNetwork = new BSWNeuralNetwork(initialModel);
ShowBSWHiddenLayerNodes();
}
catch (Exception)
{
initialTrainingSamples = new List <Sample>();
}
additionalTrainingSamples = new List <Sample>();
}
private void TrainCurrentShape(ShapeType shapeType)
{
if (!strokes.Any())
{
return;
}
var trainingSample = Preprocessing.GetTrainingSampleFromShapeFeatures(currentShapeFeatures, shapeType);
additionalTrainingSamples.Add(trainingSample);
var allTrainingSamples = initialTrainingSamples.Concat(additionalTrainingSamples).ToList();
try
{
bswTrainingAlgorithm = new BSWTrainingAlgorithm();
var trainedModel = bswTrainingAlgorithm.Train(allTrainingSamples);
bswNeuralNetwork = new BSWNeuralNetwork(trainedModel);
}
catch (Exception e) { }
ShowBSWHiddenLayerNodes();
}