private double CalculateError(double[] outputs, double[] expected) //For one line of data
//Must Propagate() first
{
double[] squaredDifferenceArray = new double[outputs.Length];
for (int i = 0; i < outputs.Length; i++)
{
squaredDifferenceArray[i] = Math.Pow(expected[i] - outputs[i], 2);
}
double avgSquaredDifference = NetMath.Sum(squaredDifferenceArray) / outputs.Length;
return(avgSquaredDifference);
}
private double GetDatasetError(Dataset dataset)
{
//Calculate average error for entire dataset
double[] errors = new double[dataset.numOfDataPoints];
for (int i = 0; i < dataset.numOfDataPoints; i++)
{
double[] inputs = dataset.Inputs[i];
double[] expected = dataset.Expected[i];
double[] outputs = OutVal(inputs);
double error = CalculateError(outputs, expected);
errors[i] = error;
}
double averageError = NetMath.Sum(errors) / dataset.numOfDataPoints;
return(averageError);
}
