public NetProcess(INeuralNetworkImage image)
{
if (image == null)
{
throw new ArgumentNullException(nameof(image));
}
history = NetProcessHistory.Restore(image);
}
public static NetProcessHistory Restore(INeuralNetworkImage stable_image)
{
var history = new NetProcessHistory();
if (stable_image != null)
{
history.StableNetImage = new NetProcessImage(stable_image, -1);
}
return(history);
}
public NetProcessInfo(
INeuralNetworkImage running_image,
int running_record_count,
double running_total_accruacy,
INeuralNetworkImage stable_image,
double[] accuracy_chain_history)
{
this.running_image = running_image;
this.running_record_count = running_record_count;
this.running_total_accruacy = running_total_accruacy;
this.stable_image = stable_image;
this.accuracy_chain_history = accuracy_chain_history;
}
public static void Serialize(FileStream stream, INeuralNetworkImage image)
{
if (image is NeuralNetworkImage cu_image)
{
NeuralNetworkSerializer.Serialize(stream, cu_image);
}
else if (image is NeuralNetworkLineImage cu_line_image)
{
NeuralNetworkLineSerializer.Serialize(stream, cu_line_image);
}
else
{
throw new Exception(
"The serializer for this type of INeuralNetworkImage is not registed.");
}
}
public void AddOutOfLineProgress(INeuralNetworkImage image)
{
if (image == null)
{
throw new ArgumentNullException(nameof(image));
}
if (!Stopped)
{
throw new Exception("The process is not stoped.");
}
process_locker.AcquireWriterLock(100);
try
{
out_of_lines.Add(new NetProcess(image));
CheckBestRunningProcess();
}
finally { process_locker.ReleaseWriterLock(); }
}
public static NetProcessHistory Restore(INeuralNetworkImage stable_image, double[] chain)
{
var history = new NetProcessHistory();
if (stable_image != null)
{
if (chain == null || chain.Length < 1)
{
throw new ArgumentNullException(nameof(chain));
}
history.StableNetImage = new NetProcessImage(stable_image, chain[0]);
foreach (var accuracy in chain)
{
history.accuracy_chain.AddLast(accuracy);
}
}
return(history);
}
public NetProcessImage(INeuralNetworkImage image, double accuracy)
{
Image = image ?? throw new ArgumentNullException(nameof(image));
Accuracy = accuracy;
}
