本文整理汇总了C#中VectorGaussian.SetMeanAndPrecision方法的典型用法代码示例。如果您正苦于以下问题：C# VectorGaussian.SetMeanAndPrecision方法的具体用法？C# VectorGaussian.SetMeanAndPrecision怎么用？C# VectorGaussian.SetMeanAndPrecision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.SetMeanAndPrecision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: SampleConditional
/// <summary>
/// Gibbs message to 'sample'
/// </summary>
/// <param name="Mean">Constant value for 'mean'.</param>
/// <param name="Precision">Constant value for 'precision'.</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 'sample' conditioned on the given values.
/// </para></remarks>
public static VectorGaussian SampleConditional(Vector Mean, PositiveDefiniteMatrix Precision, VectorGaussian result)
{
result.SetMeanAndPrecision(Mean, Precision);
return result;
}示例2: ExtractVectorPart
public static VectorGaussian ExtractVectorPart(VectorGaussianWishart gaussianWishart, VectorGaussian result)
{
if (gaussianWishart.IsVectorMarginalUniform())
{
return VectorGaussian.Uniform(2);
}
double firstShape, secondPrecisionScale;
PositiveDefiniteMatrix firstRate;
Vector secondLocation;
gaussianWishart.ExtractParameters(out firstShape, out firstRate, out secondLocation, out secondPrecisionScale);
result.SetMeanAndPrecision(secondLocation, MathHelpers.Invert(firstRate) * (firstShape * secondPrecisionScale));
return result;
}