/// <summary>
/// Creates an unnormalized discrete distribution from a normal discrete distribution.
/// </summary>
/// <param name="d">The discrete distribution</param>
/// <returns></returns>
public static UnnormalizedDiscrete FromDiscrete(Discrete d)
{
UnnormalizedDiscrete ud = new UnnormalizedDiscrete();
ud.logProb = (DenseVector)d.GetLogProbs();
return(ud);
}
public void SetToSum(double weight1, UnnormalizedDiscrete value1, double weight2, UnnormalizedDiscrete value2)
{
Discrete result = Discrete.Uniform(Dimension);
result.SetToSum(weight1, value1.ToDiscrete(), weight2, value2.ToDiscrete());
SetLogProbs((DenseVector)result.GetLogProbs());
}
/// <summary>
/// Gets the log-probability at each index.
/// </summary>
/// <returns>The vector of log-probabilities</returns>
public Vector GetLogProbs()
{
return(disc.GetLogProbs());
}
