protected double[] CheckResultValidation(NeuralNetworkFlash flash, Record record)
{
var action_str = Encoding.UTF8.GetString(Action(flash.ResultSignals)).Trim();
var f = action_str.IndexOf('\0');
if (f >= 0)
{
action_str = action_str.Substring(0, f);
}
Clear();
var extra = record.extra as string[];
if (extra[1] == action_str)
{
return(null);
}
IgnoreUnnecessary(record.result, flash.ResultSignals);
print = $"{Offset}: ({extra[0]},{Finglish(Encoding.UTF8.GetString(Action(record.result)).Trim())}) => ({Print(flash.TotalError, null)}){Finglish(Trim(action_str))}";
Debugger.Console.WriteWord(print);
return(record.result);
}
public void ChangeSatate(NeuralNetworkFlash predict)
{
record_count++;
total_accruacy += predict.Accuracy;
RunningAccuracy = total_accruacy / record_count;
LastPrediction = predict;
}
public double Accuracy(NeuralNetworkFlash flash, double[] _)
{
// actually 'TotalError' is avrage of errors
// becaue in 'NegativeErrorDerivative' function output is divided by count
return(1 - flash.TotalError);
}
