public ChistaNetLine(NeuralNetworkLineImage line_image) { if (line_image == null) { throw new ArgumentNullException(nameof(line_image), "The nn-line-image is undefined."); } chista_nets = new ChistaNet[line_image.images.Length]; int i = 0; foreach (var image in line_image.images) { chista_nets[i++] = new ChistaNet(image); } combiners = line_image.combiners; }
public IChistaNet ChistaNet(double learning, double certainty, double dropout) { var image = Image(); return(image switch { NeuralNetworkImage simple_image => new ChistaNet(simple_image) { LearningFactor = learning, CertaintyFactor = certainty, DropoutFactor = dropout }, NeuralNetworkLineImage line_image => new ChistaNetLine(line_image) { LearningFactor = learning, CertaintyFactor = certainty, DropoutFactor = dropout }, _ => throw new Exception("Invalid chista-net type"), });