public void MeanSquareError_ThrowOnLengthMismatch()
{
var target = new[] { 1.0, 1.0 };
var output = new[] { 1.0 };
Assert.Throws <NeuralNetworkException>(() => ErrorCalculations.MeanSquareError(target, output));
}
public void MeanSquareError_Calculate()
{
var target = new[] { 0.05, 0.8, 0.15 };
var output = new[] { 0.3, 0.5, 0.2 };
var actual = ErrorCalculations.MeanSquareError(target, output);
var expected = 0.0516666666666667;
Assert.Equal(expected, actual, 12);
}
public static double GetMeanSquareError(double[] expected, double[] actual)
{
return(ErrorCalculations.MeanSquareError(expected, actual));
}
