/// <summary>
/// Function call to update the learner model based on the current probabilities of the observed nodes.
/// </summary>
public void UpdateLearnerModel()
{
learnerModel =
from similarAddition in similarAdditionDist
from similarSubtraction in similarSubtractionDist
from similar in ProbBase.BernoulliF(similarProb(similarAddition, similarSubtraction))
from equivalentAddition in equivalentAdditionDist
from equivalentSubtraction in equivalentSubtractionDist
from equivalent in ProbBase.BernoulliF(equivalentProb(equivalentAddition, equivalentSubtraction, similar))
from dissimilarAddition in dissimilarAdditionDist
from dissimilarSubtraction in dissimilarSubtractionDist
from dissimilar in ProbBase.BernoulliF(dissimilarProb(dissimilarAddition, dissimilarSubtraction, equivalent))
select new LearnerModel(similar, equivalent, dissimilar);
Infer(LearnerModel.Node.Similar);
Infer(LearnerModel.Node.Equivalent);
Infer(LearnerModel.Node.Dissimilar);
}
public static Prob GetProb(FiniteDist <bool> variable)
{
return(variable.ProbOf(e => e == true));
}
/// <summary>
/// Function call to update the observed nodes for operations on dissimilar fractions with its respective rates.
/// </summary>
public void UpdateDissimilarProbability()
{
dissimilarAdditionDist = ProbBase.BernoulliF(ProbBase.Prob(fbDissimilarAddition));
dissimilarSubtractionDist = ProbBase.BernoulliF(ProbBase.Prob(fbDissimilarSubtraction));
}
/// <summary>
/// Function call to update the observed nodes for operations on equivalent fractions with its respective rates.
/// </summary>
public void UpdateEquivalentProbability()
{
equivalentAdditionDist = ProbBase.BernoulliF(ProbBase.Prob(fbEquivalentAddition));
equivalentSubtractionDist = ProbBase.BernoulliF(ProbBase.Prob(fbEquivalentSubtraction));
}
