本文整理汇总了C#中SparseVector.Sum方法的典型用法代码示例。如果您正苦于以下问题：C# SparseVector.Sum方法的具体用法？C# SparseVector.Sum怎么用？C# SparseVector.Sum使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类SparseVector的用法示例。
在下文中一共展示了SparseVector.Sum方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: AverageLogFactor
/// <summary>
/// Evidence message for VMP
/// </summary>
/// <param name="sample">Constant value for 'sample'.</param>
/// <param name="probsTrue">Incoming message from 'probsTrue'. Must be a proper distribution. If any element is uniform, the result will be uniform.</param>
/// <param name="MeanLogOneMinus">Buffer 'MeanLogOneMinus'.</param>
/// <returns>Average of the factor's log-value across the given argument distributions</returns>
/// <remarks><para>
/// The formula for the result is <c>sum_(probsTrue) p(probsTrue) log(factor(sample,probsTrue))</c>.
/// Adding up these values across all factors and variables gives the log-evidence estimate for VMP.
/// </para></remarks>
/// <exception cref="ImproperMessageException"><paramref name="probsTrue"/> is not a proper distribution</exception>
public static double AverageLogFactor(IList<bool> sample, [Proper] SparseBetaList probsTrue, SparseVector MeanLogOneMinus)
{
//var MeanLogOneMinus = probsTrue.GetMeanLogOneMinus();
double ev = MeanLogOneMinus.Sum();
int count = sample.Count;
// assume 'sample' is very sparse
bool[] sampleAsArray = (bool[])sample;
for (int i = 0; i < count; i++)
{
if (!sampleAsArray[i]) continue;
ev -= MeanLogOneMinus[i];
ev += SparseBetaList.ComputeMeanLog(probsTrue.TrueCounts[i],probsTrue.FalseCounts[i]);
}
return ev;
}