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();
}