/// <summary>
/// Get the current error of training dataset
/// </summary>
/// <returns>Errors of the set</returns>
public double[] GetCurrentError()
{
double[] Errors = new double[TrainingDataset.Size];
int i = 0;
foreach (IOMetaDataSetItem <double[]> item in TrainingDataset)
{
TargetNetwork.UpdatePositive(item.DataIn);
Errors[i] = 0.5 * GetMeanSquareError(TargetNetwork.OutputValues, item.DataOut).Select((double v) => (v * v)).Sum();
i++;
}
return(Errors);
}
