Table of contents

Classes

• AbsExpression Expression class representing the Abs() function
• AddExpression Expression class representing the + operator
• AndExpression Expression class representing the and() function
• Attribute Attributes can be used to associate arbitrary data with a node or a NetworkModel (i
• BetaDistribution Expression class representing the Beta distribution function
• BinomialDistribution Expression class representing the Binomial distribution function
• BooleanDCNode Boolean discrete chance node. Contains two states, true and false.
• BooleanDDNode Boolean discrete decision node
• BooleanExpression A Boolean constant expression
• CeilExpression Expression class representing the ceil() function
• CGDistribution The CGDistribution encapsulates all information regarding the distribution of a ContinuousChanceNode
• Class The Class class is one of the principal structures in HUGIN
• ClassCollection A ClassCollection is one of the principal structures in HUGIN
• ClassList Standard C++ Library container for holding Classes
• ClassParseListener The ClassParseListener interface is used when one wants to call the parseClasses(String, ParseListener) method of the ClassCollection class
• Clique Represents the cliques in the junction tree
• CliqueList Standard C++ Library container for holding cliques
• CompositeExpression The ancestor class of all composite expression (for example arithmetic operators or standard distribution functions)
• ConstantExpression The ancestor of all expression classes representing a constant (label, number, or Boolean)
• ContinuousChanceNode The Continuous chance node
• CosExpression Expression class representing the Cos() function
• CoshExpression Expression class representing the Cosh() function
• DefaultParseListener Provides a simple implementation of the ParseListener class
• DiscreteChanceNode This class is the ancestor for all discrete nodes.
• DiscreteDecisionNode The discrete decision node. Base class for all decision nodes.
• DistributionDistribution Expression class representing the Distribution() function
• DivideExpression Expression class representing the / operator
• Domain A domain is the HUGIN representation of a network
• EqualsExpression Expression class representing the == operator
• ExceptionAlreadyConnected An attempt has been made to connect two nodes that are already connected through a link of different type or direction
• ExceptionAttribute Attempted to read a value associate with a non-existing attribute
• ExceptionBadFile An attempt to load a domain failed due to a bad file
• ExceptionBadPointer Use of invalid pointer attempted
• ExceptionBadVersion The knowledgde base has a wrong version number
• ExceptionCGEvidenceIncorporated This operation is not supported when the junction tree potentials have CG evidence incorporated
• ExceptionChainGraph Chain graph: Zero probability found in parent potential
• ExceptionCompressed The operation is not supported on compressed domains
• ExceptionComputationFailed The probability/density function could not be computed
• ExceptionCyclicNetwork A cycle has been detected in the network of a domain
• ExceptionDecisionOrder The set of decisions in an influence diagram must be linearly ordered
• ExceptionDemo Attempted to work on domain, which,
• ExceptionDivisionByZero Division by zero has been attempted
• ExceptionEnumeration The specified elimination sequence is invalid
• ExceptionError This is an impossible error
• ExceptionFastRetraction Logical relations in the distribution has caused a fast-retraction propagation to fail
• ExceptionFormat Some data item had a bad format
• ExceptionHugin The generic Hugin Exception
• ExceptionInappropriateArguments Illegal arguments have been given to a standard probability/density function
• ExceptionInconsistencyOrUnderflow Propagation of inconsistent evidence has been attempted
• ExceptionInsufficientStateRange The state range of the node is insufficient for the chosen standard distribution
• ExceptionInvalidExpression The supplied expression is invalid (for example, wrong type)
• ExceptionInvalidLicense Attempted to work on domain, with invalid license information,
• ExceptionInvalidName Names used as node identifiers or attribute names must have the same form as a C identifier
• ExceptionInvalidStateValues The state values of a numeric node do not form an increasing sequence
• ExceptionIO A fatal error occurred during an input or output operation
• ExceptionLocale The Hugin API could not establish the C locale
• ExceptionLowDensity The density of the evidence presented is too low to represent as a positive floating-point number
• ExceptionMemory Hugin ran out of memory while carrying out some operation
• ExceptionNegativeProbability A negative probability was found in a conditional probability or a chain graph potential
• ExceptionNoEquilibrium The junction tree potentials are inconsistent
• ExceptionNormalization Normalization with a zero normalization constant has been attempted
• ExceptionNotCompiled The operation requires a compiled domain
• ExceptionNoValue Zero variance detected during a conditioning operation
• ExceptionOverflow Overflow occurred during propagation
• ExceptionParse An error occurred while parsing a NET specification
• ExceptionRounding Possibly significant floating-point rounding error detected
• ExceptionSizeTooLarge The true size is too large to represent within type `size_t'
• ExceptionSyntax A syntax error has been detected while parsing an expression
• ExceptionTableSize Attempted to use a table of wrong dimensions, e
• ExceptionTableTooLarge The compressed version of some non-clique table is too large
• ExceptionTwice An attempt has been made to create a node with a name that is already in use in the domain
• ExceptionUsage An API function was called with a bad argument or while in a state that is inconsistent with the function, e
• ExceptionZeroSum A zero sum was found in a conditional probability potential
• ExceptionZeroVariance Zero variance detected during a conditioning operation
• ExpExpression Expression class representing the exp() function
• ExponentialDistribution Expression class representing the Exponential distribution function
• Expression Expression is the ancestor of all expression classes
• ExpressionList Standard C++ Library container for holding expressions
• FloorExpression Expression class representing the floor() function
• GammaDistribution Expression class representing the Gamma distribution function
• GeometricDistribution Expression class representing the Geometric distribution function
• GreaterThanExpression Expression class representing the > operator
• GreaterThanOrEqualsExpression Expression class representing the >= operator
• IfExpression Expression class representing the if(cond-expr,true-expr,false-expr) function
• InstanceNode InstanceNodes are the key building block of object-oriented Bayesian networks and influence diagrams
• IntervalDCNode Interval discrete chance node. Each state represents an interval.
• IntervalDDNode Interval discrete decision node
• JunctionTree Thic class represents the junction trees in the compiled domain.
• JunctionTreeList Standard C++ Library container for holding junction trees
• LabelExpression A label constant expression
• LabelledDCNode Labelled discrete chance node. This is the node normally used.
• LabelledDDNode Labelled discrete decision node
• LessThanExpression Expression class representing the < operator
• LessThanOrEqualsExpression Expression class representing the <= operator
• Log10Expression Expression class representing the Log10() function
• Log2Expression Expression class representing the log2() function
• LogExpression Expression class representing the log() function
• MaxExpression Expression class representing the max() function
• MinExpression Expression class representing the min() function
• Model A Model is a compact description of a table
• ModExpression Expression class representing the mod() function
• MultiplyExpression Expression class representing the * operator
• NegateExpression Expression class representing the unary - operator
• NegativeBinomialDistribution Expression class representing the Negative Binomial distribution function
• NetParseListener The NetParseListener class is used while parsing a Hugin NET file
• NetworkModel NetworkModel is the ancestor of both Domain and Class
• Node Nodes are one of the fundamental objects used in the construction of Bayesian belief networks and influence diagrams
• NodeExpression An expression representing the value of a discrete chance node or decision node
• NodeList Standard C++ Library container for holding nodes
• NoisyOrExpression Expression class representing the NoisyOr() function
• NormalDistribution Expression class representing the Gaussian normal distribution function
• NotEqualsExpression Expression class representing the != operator
• NotExpression Expression class representing the Boolean not() function
• NumberedDCNode Numbered discrete chance node. To every state is associated a number.
• NumberedDDNode Numbered discrete decision node
• NumberExpression A numeric constant expression
• OrExpression Expression class representing the Boolean or() function
• ParseListener The ParseListener class is a virtual class, which provides an interface for the other parse listeners to use
• PoissonDistribution Expression class representing the Poisson distribution function
• PowerExpression Expression class representing the ^ operator
• SinExpression Expression class representing the Sin() function
• SinhExpression Expression class representing the Sinh() function
• SqrtExpression Expression class representing the sqrt() function
• SubtractExpression Expression class representing the binary - operator
• Table Hugin uses Tables for representing the conditional probability and utility potentials of individual Nodes, the probability and utility potentials on separators and Cliques of JunctionTrees, evidence potentials, etc
• TanExpression Expression class representing the Tan() function
• TanhExpression Expression class representing the Tanh() function
• UniformDistribution Expression class representing the Uniform distribution function
• UtilityNode A UtilityNode represents a utility function
• WeibullDistribution Expression class representing the Weibull distribution function

Enums, Unions, Structs

• Category Node categories
• Constraint Constraints used in structural learning
• Endian Byte order
• Equilibrium Types of equilibrium in the junction trees
• EvidenceMode Modes of propagation
• Kind Node kinds
• Operator Operators to be used in expressions
• TriangulationMethod Possible triangulation methods

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