public double TestNetwork(bool isInputNormalized = false)
{
if (!isInitialized)
{
return(-1);
}
DigitParser testDigitParser = new DigitParser(ResourceStorage.testDigitsPath);
LabelParser testLabelParser = new LabelParser(ResourceStorage.testLabelsPath);
double[] singleInput;
double[] singleOutput;
double[] networkOutput;
int corectOutputs = 0;
int totalOutputs = testLabelParser.GetSampleCount();
for (int i = 0; i < testDigitParser.GetSampleCount(); i++)
{
singleInput = testDigitParser.GetNextInput();
singleOutput = testLabelParser.GetNextOutput();
if (isInputNormalized)
{
NormalizeSingleInput(singleInput);
}
networkOutput = network.Compute(singleInput);
if (singleOutput.SequenceEqual(ConvertToSingleOutput(networkOutput)))
{
corectOutputs++;
}
}
return((corectOutputs / (double)totalOutputs) * 100.0d);
}
public void SetTrainingPaths(string inputPath, string outputPath)
{
trainDigitParser = new DigitParser(inputPath);
trainLabelParser = new LabelParser(outputPath);
isInitialized = true;
}