public void influencedBy(BayesNetNode parent1, BayesNetNode parent2)
{
influencedBy(parent1);
influencedBy(parent2);
distribution = new ProbabilityDistribution(parent1.getVariable(),
parent2.getVariable());
}
public bool isTrueFor(double probability,
Dictionary <String, bool> modelBuiltUpSoFar)
{
Dictionary <String, bool> conditions = new Dictionary <String, bool>();
if (isRoot())
{
conditions.Add(getVariable(), true);
}
else
{
for (int i = 0; i < parents.Count; i++)
{
BayesNetNode parent = parents[i];
conditions.Add(parent.getVariable(), modelBuiltUpSoFar[parent.getVariable()]);
}
}
double trueProbability = probabilityOf(conditions);
if (probability <= trueProbability)
{
return(true);
}
else
{
return(false);
}
}
public void influencedBy(BayesNetNode parent1, BayesNetNode parent2)
{
influencedBy(parent1);
influencedBy(parent2);
distribution = new ProbabilityDistribution(parent1.getVariable(),
parent2.getVariable());
}
private void addChild(BayesNetNode node)
{
if (!(children.Contains(node)))
{
children.Add(node);
}
}
//
// PRIVATE METHODS
//
private void addParent(BayesNetNode node)
{
if (!(parents.Contains(node)))
{
parents.Add(node);
}
}
public override bool Equals(Object o)
{
if (this == o)
{
return(true);
}
if ((o == null) || (this.GetType() != o.GetType()))
{
return(false);
}
BayesNetNode another = (BayesNetNode)o;
return(variable.Equals(another.variable));
}
public void influencedBy(BayesNetNode parent1)
{
addParent(parent1);
parent1.addChild(this);
distribution = new ProbabilityDistribution(parent1.getVariable());
}
private void addChild(BayesNetNode node)
{
if (!(children.Contains(node)))
{
children.Add(node);
}
}
//
// PRIVATE METHODS
//
private void addParent(BayesNetNode node)
{
if (!(parents.Contains(node)))
{
parents.Add(node);
}
}
public void influencedBy(BayesNetNode parent1)
{
addParent(parent1);
parent1.addChild(this);
distribution = new ProbabilityDistribution(parent1.getVariable());
}
