public NetProcess(INeuralNetworkImage image)
{
if (image == null)
{
throw new ArgumentNullException(nameof(image));
}
history = NetProcessHistory.Restore(image);
}
public NetProcess(NetProcessInfo state)
{
if (state == null)
{
throw new ArgumentNullException(nameof(state));
}
history = NetProcessHistory.Restore(state.stable_image, state.accuracy_chain_history);
if (state.running_image is NeuralNetworkImage image)
{
RunningChistaNet = new ChistaNet(image);
}
else if (state.running_image is NeuralNetworkLineImage line_image)
{
RunningChistaNet = new ChistaNetLine(line_image);
}
else if (state.stable_image == null)
{
throw new ArgumentException(nameof(state),
"The state must have stable-image or running-image");
}
else
{
return;
}
record_count = state.running_record_count;
total_accruacy = state.running_total_accruacy;
if (record_count > 0)
{
RunningAccuracy = total_accruacy / record_count;
}
}