本文整理汇总了C#中VectorGaussian.GetMean方法的典型用法代码示例。如果您正苦于以下问题：C# VectorGaussian.GetMean方法的具体用法？C# VectorGaussian.GetMean怎么用？C# VectorGaussian.GetMean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VectorGaussian的用法示例。
在下文中一共展示了VectorGaussian.GetMean方法的2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: SecondAverageLogarithm
/// <summary>
/// VMP message to 'second'
/// </summary>
/// <param name="concat">Incoming message from 'concat'. Must be a proper distribution. If any element is uniform, the result will be uniform.</param>
/// <param name="first">Incoming message from 'first'.</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 'second'.
/// Because the factor is deterministic, 'concat' is integrated out before taking the logarithm.
/// The formula is <c>exp(sum_(first) p(first) log(sum_concat p(concat) factor(concat,first,second)))</c>.
/// </para></remarks>
/// <exception cref="ImproperMessageException"><paramref name="concat"/> is not a proper distribution</exception>
public static VectorGaussian SecondAverageLogarithm([SkipIfUniform] VectorGaussian concat, VectorGaussian first, VectorGaussian result)
{
Vector mFirst = first.GetMean();
return SecondAverageConditional(concat, mFirst, result);
}示例2: FirstAverageLogarithm
/// <summary>
/// VMP message to 'first'
/// </summary>
/// <param name="concat">Incoming message from 'concat'. Must be a proper distribution. If any element is uniform, the result will be uniform.</param>
/// <param name="second">Incoming message from 'second'.</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 'first'.
/// Because the factor is deterministic, 'concat' is integrated out before taking the logarithm.
/// The formula is <c>exp(sum_(second) p(second) log(sum_concat p(concat) factor(concat,first,second)))</c>.
/// </para></remarks>
/// <exception cref="ImproperMessageException"><paramref name="concat"/> is not a proper distribution</exception>
public static VectorGaussian FirstAverageLogarithm([SkipIfUniform] VectorGaussian concat, VectorGaussian second, VectorGaussian result)
{
// prec = concat.Precision[dim1,dim1]
// meanTimesPrec = concat.MeanTimesPrecision[dim1] - concat.Precision[dim1,dim2]*second.Mean
Vector mSecond = second.GetMean();
return FirstAverageConditional(concat, mSecond, result);
}