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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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