本文整理匯總了C#中Bernoulli.SetLogProbTrue方法的典型用法代碼示例。如果您正苦於以下問題：C# Bernoulli.SetLogProbTrue方法的具體用法？C# Bernoulli.SetLogProbTrue怎麽用？C# Bernoulli.SetLogProbTrue使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類Bernoulli的用法示例。
在下文中一共展示了Bernoulli.SetLogProbTrue方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的C#代碼示例。
示例1: IsBetweenAverageConditional
/// <summary>
/// EP message to 'isBetween'
/// </summary>
/// <param name="X">Incoming message from 'x'. Must be a proper distribution. If uniform, the result will be uniform.</param>
/// <param name="lowerBound">Incoming message from 'lowerBound'. Must be a proper distribution. If uniform, the result will be uniform.</param>
/// <param name="upperBound">Incoming message from 'upperBound'.</param>
/// <returns>The outgoing EP message to the 'isBetween' argument</returns>
/// <remarks><para>
/// The outgoing message is a distribution matching the moments of 'isBetween' as the random arguments are varied.
/// The formula is <c>proj[p(isBetween) sum_(x,lowerBound,upperBound) p(x,lowerBound,upperBound) factor(isBetween,x,lowerBound,upperBound)]/p(isBetween)</c>.
/// </para></remarks>
/// <exception cref="ImproperMessageException"><paramref name="X"/> is not a proper distribution</exception>
/// <exception cref="ImproperMessageException"><paramref name="lowerBound"/> is not a proper distribution</exception>
public static Bernoulli IsBetweenAverageConditional([SkipIfUniform] Gaussian X, [SkipIfUniform] Gaussian lowerBound, Gaussian upperBound)
{
Bernoulli result = new Bernoulli();
result.SetLogProbTrue(LogProbBetween(X, lowerBound, upperBound));
return result;
}