public static int TrainPerceptron_And(
Perceptron perceptron,
double adalineThreshold = 1,
bool verbose = false,
bool dumpData = false
)
{
bool isTrained = false;
int epoch = 0;
if (perceptron.IsAdaline)
{
if (verbose)
{
ConsoleHelper.WriteYellowLine($"Using adaline, error treshold - {adalineThreshold}");
}
double errorSum;
do
{
epoch++;
errorSum = 0;
if (verbose)
{
ConsoleHelper.WriteYellow($"Learning epoch - {epoch}");
}
foreach (var trainObject in andTraingData.Shuffle())
{
errorSum += Math.Pow(perceptron.Train(trainObject), 2);
}
errorSum /= andTraingData.Count;
if (verbose)
{
ConsoleHelper.WriteLine($" current error - {errorSum}");
}
if (dumpData)
{
CsvPrinter.DumpLine(epoch, errorSum);
}
if (epoch <= MaximumEpochs)
{
continue;
}
if (verbose)
{
ConsoleHelper.WriteErrorLine("Stopping!");
ConsoleHelper.WriteErrorLine("Did not learn nothing in 10000 epochs!");
ConsoleHelper.WriteErrorLine($"Using adaline, current values: error-{errorSum} > threshold-{adalineThreshold}");
}
return(0);
}while (errorSum > adalineThreshold);
}
else
{
while (!isTrained)
{
epoch++;
if (verbose)
{
ConsoleHelper.WriteLine($"Learning epoch - {epoch}");
}
double errorSum = 0;
errorSum = 0;
foreach (var trainObject in andTraingData)
{
var error = Math.Abs(perceptron.Train(trainObject));
errorSum += error;
}
if (Math.Abs(errorSum) < 0.000001)
{
isTrained = true;
}
if (dumpData)
{
CsvPrinter.DumpLine(epoch, errorSum);
}
if (epoch <= MaximumEpochs)
{
continue;
}
if (verbose)
{
ConsoleHelper.WriteErrorLine("Stopping!");
ConsoleHelper.WriteErrorLine("Did not learn nothing in 10000 epochs!");
}
return(0);
}
}
return(epoch);
}
