/// <summary>Evidence message for EP.</summary>
/// <param name="areEqual">Constant value for <c>areEqual</c>.</param>
/// <param name="A">Incoming message from <c>a</c>.</param>
/// <param name="B">Incoming message from <c>b</c>.</param>
/// <returns>Logarithm of the factor's average value across the given argument distributions.</returns>
/// <remarks>
/// <para>The formula for the result is <c>log(sum_(a,b) p(a,b) factor(areEqual,a,b))</c>.</para>
/// </remarks>
public static double LogAverageFactor(bool areEqual, TEnum A, DiscreteEnum <TEnum> B)
{
return(DiscreteAreEqualOp.LogAverageFactor(areEqual, ToInt(A), B.GetInternalDiscrete()));
}
/// <summary>Evidence message for EP.</summary>
/// <param name="areEqual">Constant value for <c>areEqual</c>.</param>
/// <param name="A">Incoming message from <c>a</c>.</param>
/// <param name="B">Incoming message from <c>b</c>.</param>
/// <returns>Logarithm of the factor's average value across the given argument distributions.</returns>
/// <remarks>
/// <para>The formula for the result is <c>log(sum_(a,b) p(a,b) factor(areEqual,a,b))</c>.</para>
/// </remarks>
public static double LogAverageFactor(bool areEqual, DiscreteEnum <TEnum> A, TEnum B)
{
return(DiscreteAreEqualOp.LogAverageFactor(areEqual, A.GetInternalDiscrete(), ToInt(B)));
}
/// <summary>Evidence message for EP.</summary>
/// <param name="areEqual">Constant value for <c>areEqual</c>.</param>
/// <param name="A">Incoming message from <c>a</c>.</param>
/// <param name="B">Incoming message from <c>b</c>.</param>
/// <returns>Logarithm of the factor's average value across the given argument distributions.</returns>
/// <remarks>
/// <para>The formula for the result is <c>log(sum_(a,b) p(a,b) factor(areEqual,a,b))</c>.</para>
/// </remarks>
public static double LogAverageFactor(bool areEqual, TEnum A, TEnum B)
{
return(DiscreteAreEqualOp.LogAverageFactor(areEqual, ToInt(A), ToInt(B)));
}
