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"),
});