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NetworkModel (i.e., a Class or a Domain).Class.
Class.
false
and true.
false and true.
parseClasses method of the ClassCollection class.true if a value has been set for this
ContinuousChanceNode in case c; otherwise, returns
false.
true if a value has been set for this
DiscreteNode in case c; otherwise, returns
false.
true if evidence on CG nodes has been
propagated; otherwise, returns false.
true if CG evidence has been propagated in
this JunctionTree; otherwise, returns false.
true if the Class named
className is contained in this ClassList;
otherwise, returns false.
true if the given Class is contained in
this ClassList; otherwise, returns false.
DiscreteNode.setCaseState method.Expression cannot be
computed.Expression.Domain.triangulate(NodeList) method.Table.getData() detects that the size of the table is larger than
Integer.MAX_VALUE.Expression.Expression.Expression specified as a String.Domain.compress() method detects that the compressed version of
some non-clique table is too large.true if the evidence potential, currently
registered with this Node, is non-vacuous; otherwise, returns
false.
true if evidence has been propagated in
this JunctionTree; otherwise, returns false.
true if the evidence potential for this
Node, incorporated within the current junction tree potentials,
is non-vacuous; otherwise, returns false.
true if the EvidenceMode matches
mode; otherwise, returns false.
true if the JunctionTree contains evidence
that has not been propagated; otherwise, returns
false.
true if the entered and the propagated
evidence differ; otherwise, returns false.
className (if any) in this
ClassList; otherwise, returns null.
nodes with probability
at least minProbability.
i.
i.
c.
c.
index of the
discrete data of this Table.
Node.getHomeDomain().
i.
InstanceNode containing this
(cloned) output node.
openLogFile(String, boolean) or
openLogFile(String).
InstanceNode (i.e., the Node cloned to get this
output Node).
Domain.simulate().
Domain.simulate().
computeSensitivityData.
computeSensitivityData.
s.
true if this ContinuousChanceNode has an
experience table; returns false otherwise.
true if this DiscreteChanceNode has an
experience table; returns false otherwise.
true if this DiscreteChanceNode has a
fading table; returns false otherwise.
insertClass method
simply calls the parseClasses method with arguments
className + ".net" and this.
true if the evidence potential, currently
registered with this Node, is a likelihood; otherwise, returns
false.
true if likelihoods have been propagated
in this JunctionTree; otherwise, returns false.
true if the evidence potential for this
Node, incorporated within the current junction tree potentials,
a likelihood; otherwise, returns false.
Expressions.fileName and enters
the associated findings into this Domain.
fileName and enters
the cases into this Domain.
parseError method
simply prints the line number and parse error message to
System.err.
Expressions.
fileName and returns a
NodeList.
fileName (if the file exists, it is overwritten).
i.
attributes,
which must be a LinkedList of Attribute objects.
i.
state in
case c.
value in case c.
i.
s to v.
s to v.
stringToExpression(String,
Model, ParseListener).
true if this JunctionTree contains updated
tables that have not been propagated; otherwise, returns
false.
c.
c.
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