/// <summary>
/// Update an observed node with the given score.
/// </summary>
/// <param name="node">Main Topic</param>
/// <param name="operation">Operation</param>
/// <param name="score">Score</param>
public void UpdateNode(LearnerModel.Node node, LearnerModel.Operation operation, double score)
{
switch (node)
{
case LearnerModel.Node.Similar:
if (operation == LearnerModel.Operation.ADDITION)
{
this.bayesNet.fbSimilarAddition = (score + this.bayesNet.fbSimilarAddition) / 2;
}
else if (operation == LearnerModel.Operation.SUBTRACTION)
{
this.bayesNet.fbSimilarSubtraction = (score + this.bayesNet.fbSimilarSubtraction) / 2;
}
this.bayesNet.UpdateSimilarProbability();
break;
case LearnerModel.Node.Equivalent:
if (operation == LearnerModel.Operation.ADDITION)
{
this.bayesNet.fbEquivalentAddition = (score + this.bayesNet.fbEquivalentAddition) / 2;
}
else if (operation == LearnerModel.Operation.SUBTRACTION)
{
this.bayesNet.fbEquivalentSubtraction = (score + this.bayesNet.fbEquivalentSubtraction) / 2;
}
this.bayesNet.UpdateEquivalentProbability();
break;
case LearnerModel.Node.Dissimilar:
if (operation == LearnerModel.Operation.ADDITION)
{
this.bayesNet.fbDissimilarAddition = (score + this.bayesNet.fbDissimilarAddition) / 2;
}
else if (operation == LearnerModel.Operation.SUBTRACTION)
{
this.bayesNet.fbDissimilarSubtraction = (score + this.bayesNet.fbDissimilarSubtraction) / 2;
}
this.bayesNet.UpdateDissimilarProbability();
break;
}
}
/// <summary>
/// Infer the probability of an observed node.
/// </summary>
/// <param name="node">Main Topic</param>
/// <param name="operation">Operation</param>
/// <returns></returns>
public double GetRateofObservedNode(LearnerModel.Node node, LearnerModel.Operation operation)
{
double rate = 0d;
switch (node)
{
case LearnerModel.Node.Similar:
if (operation == LearnerModel.Operation.ADDITION)
{
rate = this.bayesNet.fbSimilarAddition;
}
else if (operation == LearnerModel.Operation.SUBTRACTION)
{
rate = this.bayesNet.fbSimilarSubtraction;
}
break;
case LearnerModel.Node.Equivalent:
if (operation == LearnerModel.Operation.ADDITION)
{
rate = this.bayesNet.fbEquivalentAddition;
}
else if (operation == LearnerModel.Operation.SUBTRACTION)
{
rate = this.bayesNet.fbEquivalentSubtraction;
}
break;
case LearnerModel.Node.Dissimilar:
if (operation == LearnerModel.Operation.ADDITION)
{
rate = this.bayesNet.fbDissimilarAddition;
}
else if (operation == LearnerModel.Operation.SUBTRACTION)
{
rate = this.bayesNet.fbDissimilarSubtraction;
}
break;
}
return(rate);
}
