/// <summary>
/// Calculate G.
/// </summary>
/// <param name="network">The network to calculate for.</param>
/// <param name="e">The event to calculate for.</param>
/// <param name="parents">The parents.</param>
/// <returns>The value for G.</returns>
public double CalculateG(BayesianNetwork network,
BayesianEvent e, IList <BayesianEvent> parents)
{
double result = 1.0;
int r = e.Choices.Count;
var args = new int[parents.Count];
do
{
double n = EncogMath.Factorial(r - 1);
double d = EncogMath.Factorial(CalculateN(network, e,
parents, args) + r - 1);
double p1 = n / d;
double p2 = 1;
for (int k = 0; k < e.Choices.Count; k++)
{
p2 *= EncogMath.Factorial(CalculateN(network, e, parents, args, k));
}
result *= p1 * p2;
} while (EnumerationQuery.Roll(parents, args));
return(result);
}
/// <summary>
/// Reset the truth table to zero.
/// </summary>
public void Reset()
{
_lines.Clear();
IList <BayesianEvent> parents = _event.Parents;
int l = parents.Count;
int[] args = new int[l];
do
{
for (int k = 0; k < _event.Choices.Count; k++)
{
AddLine(0, k, args);
}
} while (EnumerationQuery.Roll(parents, args));
}