/// <summary>VMP message to <c>probTrue</c>.</summary>
 /// <param name="sample">Constant value for <c>sample</c>.</param>
 /// <param name="result">Modified to contain the outgoing message.</param>
 /// <returns>
 ///   <paramref name="result" />
 /// </returns>
 /// <remarks>
 ///   <para>The outgoing message is the factor viewed as a function of <c>probTrue</c> conditioned on the given values.</para>
 /// </remarks>
 public static SparseBetaList ProbTrueAverageLogarithm(IList <int> sample, SparseBetaList result)
 {
     result.SetToFunction(BernoulliIntegerSubset.SubsetToList(sample, result.Count), s => BernoulliFromBetaOp.ProbTrueAverageLogarithm(s));
     return(result);
 }
Пример #2
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 /// <summary>VMP message to <c>probTrue</c>.</summary>
 /// <param name="sample">Incoming message from <c>sample</c>.</param>
 /// <param name="result">Modified to contain the outgoing message.</param>
 /// <returns>
 ///   <paramref name="result" />
 /// </returns>
 /// <remarks>
 ///   <para>The outgoing message is the exponential of the average log-factor value, where the average is over all arguments except <c>probTrue</c>. The formula is <c>exp(sum_(sample) p(sample) log(factor(sample,probTrue)))</c>.</para>
 /// </remarks>
 public static SparseBetaList ProbTrueAverageLogarithm(SparseBernoulliList sample, SparseBetaList result)
 {
     result.SetToFunction(sample, s => BernoulliFromBetaOp.ProbTrueAverageLogarithm(s));
     return(result);
 }