/// <summary>Evidence message for EP.</summary>
/// <param name="concat">Constant value for <c>concat</c>.</param>
/// <param name="ch">Incoming message from <c>ch</c>.</param>
/// <param name="str">Incoming message from <c>str</c>.</param>
/// <returns>Logarithm of the factor's contribution the EP model evidence.</returns>
/// <remarks>
/// <para>The formula for the result is <c>log(sum_(ch,str) p(ch,str) factor(concat,ch,str))</c>. Adding up these values across all factors and variables gives the log-evidence estimate for EP.</para>
/// </remarks>
public static double LogEvidenceRatio(string concat, DiscreteChar ch, StringDistribution str)
{
return(StringConcatOp.LogEvidenceRatio(concat, StringDistribution.Char(ch), str));
}
/// <summary>Evidence message for EP.</summary>
/// <param name="concat">Incoming message from <c>concat</c>.</param>
/// <param name="ch">Incoming message from <c>ch</c>.</param>
/// <param name="str">Incoming message from <c>str</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_(concat,ch,str) p(concat,ch,str) factor(concat,ch,str))</c>.</para>
/// </remarks>
public static double LogAverageFactor(StringDistribution concat, DiscreteChar ch, StringDistribution str)
{
return(StringConcatOp.LogAverageFactor(concat, StringDistribution.Char(ch), str));
}
/// <summary>EP message to <c>str</c>.</summary>
/// <param name="concat">Incoming message from <c>concat</c>.</param>
/// <param name="ch">Incoming message from <c>ch</c>.</param>
/// <returns>The outgoing EP message to the <c>str</c> argument.</returns>
/// <remarks>
/// <para>The outgoing message is a distribution matching the moments of <c>str</c> as the random arguments are varied. The formula is <c>proj[p(str) sum_(concat,ch) p(concat,ch) factor(concat,ch,str)]/p(str)</c>.</para>
/// </remarks>
public static StringDistribution StrAverageConditional(StringDistribution concat, DiscreteChar ch)
{
return(StringConcatOp.Str2AverageConditional(concat, StringDistribution.Char(ch)));
}
/// <summary>EP message to <c>ch</c>.</summary>
/// <param name="concat">Incoming message from <c>concat</c>.</param>
/// <param name="str">Incoming message from <c>str</c>.</param>
/// <returns>The outgoing EP message to the <c>ch</c> argument.</returns>
/// <remarks>
/// <para>The outgoing message is a distribution matching the moments of <c>ch</c> as the random arguments are varied. The formula is <c>proj[p(ch) sum_(concat,str) p(concat,str) factor(concat,ch,str)]/p(ch)</c>.</para>
/// </remarks>
public static DiscreteChar ChAverageConditional(StringDistribution concat, StringDistribution str)
{
var result = StringConcatOp.Str1AverageConditional(concat, str);
return(SingleOp.CharacterAverageConditional(result));
}
/// <summary>EP message to <c>concat</c>.</summary>
/// <param name="ch">Incoming message from <c>ch</c>.</param>
/// <param name="str">Incoming message from <c>str</c>.</param>
/// <returns>The outgoing EP message to the <c>concat</c> argument.</returns>
/// <remarks>
/// <para>The outgoing message is a distribution matching the moments of <c>concat</c> as the random arguments are varied. The formula is <c>proj[p(concat) sum_(ch,str) p(ch,str) factor(concat,ch,str)]/p(concat)</c>.</para>
/// </remarks>
public static StringDistribution ConcatAverageConditional(DiscreteChar ch, StringDistribution str)
{
return(StringConcatOp.ConcatAverageConditional(StringDistribution.Char(ch), str));
}
