Class ContinuousChanceNode

Represents continuous chance nodes with (conditional) Gaussian distributions.

Note: Return and argument types for methods in this class vary depending on the particular API DLL (x86/x64 platform, single/double precision) being used. Please read the section Using the Hugin C#/.NET Core/.NET 5/.NET 6 API.

Inheritance

object

Node

ContinuousChanceNode

Implements

ICloneable

Inherited Members

Node.IsAlive()

Node.Delete()

Node.SetName(string)

Node.GetName()

Node.AddParent(Node)

Node.AddToInputs()

Node.AddToOutputs()

Node.Clone()

Node.EvidenceIsEntered()

Node.EvidenceIsPropagated()

Node.EvidenceToPropagate()

Node.GetAttribute(string)

Node.GetAttributes()

Node.GetChildren()

Node.GetEdgeConstraint(Node)

Node.GetHome()

Node.GetHomeClass()

Node.GetHomeDomain()

Node.GetInstance()

Node.GetJunctionTree()

Node.GetLabel()

Node.GetMaster()

Node.GetParents()

Node.GetPosition()

Node.SetPosition(Point)

Node.GetUserData()

Node.SetUserData(object)

Node.GetSource()

Node.LikelihoodIsEntered()

Node.LikelihoodIsPropagated()

Node.RemoveFromInputs()

Node.RemoveFromOutputs()

Node.RemoveParent(Node)

Node.ReverseEdge(Node)

Node.SetAttribute(string, string)

Node.SetAttributes(List<Attribute>)

Node.SetEdgeConstraint(Node, NetworkModel.Constraint)

Node.SetLabel(string)

Node.SwitchParent(Node, Node)

Node.GetModel()

Node.GetTable()

Node.CreateTemporalClone()

Node.GetTemporalClone()

Node.GetTemporalMaster()

object.GetType()

object.MemberwiseClone()

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

Namespace: HAPI

Assembly: hugincs-9.4-netstandard2.0-x64.dll

Syntax

public class ContinuousChanceNode : Node, ICloneable

Remarks

Continuous chance nodes are also sometimes called CG nodes (CG for conditional Gaussian).

Constructors

ContinuousChanceNode(NetworkModel)

Constructs a new continuous chance node.

Declaration

public ContinuousChanceNode(NetworkModel belongsTo)

Parameters

Type	Name	Description
NetworkModel	belongsTo	The NetworkModel (i.e., Class or Domain) to which the new node should belong.

Exceptions

Type	Condition
ExceptionHugin

Methods

CaseIsSet(ulong)

Tests if a value has been set for this ContinuousChanceNode in a specific case.

Declaration

public bool CaseIsSet(ulong c)

Parameters

Type	Name	Description
ulong	c	The case index represented.

Returns

Type	Description
bool	Returns true if a value has been set for this ContinuousChanceNode in case c; otherwise, returns false.

Remarks

Generic declaration: public bool CaseIsSet (size_t c)

Exceptions

Type	Condition
ExceptionHugin

EnterValue(double)

Enters evidence (observation of the value) for this ContinuousChanceNode.

Declaration

public void EnterValue(double value)

Parameters

Type	Name	Description
double	value	A real number representing the observation.

Exceptions

Type	Condition
ExceptionHugin

GetAlpha(ulong)

Returns the alpha component of the CG distribution of this ContinuousChanceNode given the discrete parent configuration corresponding to i.

Declaration

public double GetAlpha(ulong i)

Parameters

Type	Name	Description
ulong	i	The index of a discrete parent configuration.

Returns

Type	Description
double	The alpha component.

Remarks

Generic declaration: public double GetAlpha (size_t i)

Exceptions

Type	Condition
ExceptionHugin

GetBeta(ContinuousChanceNode, ulong)

Returns the beta component of the CG distribution of this ContinuousChanceNode given a continuous parent and the discrete parent configuration corresponding to i.

Declaration

public double GetBeta(ContinuousChanceNode parent, ulong i)

Parameters

Type	Name	Description
ContinuousChanceNode	parent	A ContinuousChanceNode parent of this ContinuousChanceNode.
ulong	i	The index of a discrete parent configuration.

Returns

Type	Description
double	The beta component.

Remarks

Generic declaration: public double GetBeta (ContinuousChanceNode parent, size_t i)

Exceptions

Type	Condition
ExceptionHugin

GetCaseValue(ulong)

Returns the value set for this ContinuousChanceNode in case c.

Declaration

public double GetCaseValue(ulong c)

Parameters

Type	Name	Description
ulong	c	The case index.

Returns

Type	Description
double

Remarks

Generic declaration: public double GetCaseValue (size_t c)

Exceptions

Type	Condition
ExceptionHugin

GetCategory()

Returns the Category of this Node.

Declaration

public override Node.Category GetCategory()

Returns

Type	Description
Node.Category	H_CATEGORY_CHANCE

Overrides

Node.GetCategory()

GetDistribution()

Returns the distribution for this continuous node.

Declaration

public Table GetDistribution()

Returns

Type	Description
Table	A Table holding a strong marginal of this node and a set of discrete nodes.

Remarks

The distribution for a continuous chance node is in general a mixture of several Gaussian distributions. This method actually computes a joint distribution of this CG node and a set of discrete nodes. These discrete nodes are chosen such that the computed marginal is a strong marginal, but it is not necessarily minimal.

Exceptions

Type	Condition
ExceptionHugin

GetEnteredValue()

Returns the evidence (value) entered for this ContinuousChanceNode.

Declaration

public double GetEnteredValue()

Returns

Type	Description
double	A real number (double precision) expressing the value entered.

Remarks

If no value has been entered, an ExceptionHugin is thrown.

Exceptions

Type	Condition
ExceptionHugin

GetExperienceTable()

Returns the experience table of this ContinousChanceNode.

Declaration

public Table GetExperienceTable()

Returns

Type	Description
Table

Exceptions

Type	Condition
ExceptionHugin

GetGamma(ulong)

Returns the gamma component of the CG distribution of this ContinuousChanceNode given the discrete parent configuration corresponding to i.

Declaration

public double GetGamma(ulong i)

Parameters

Type	Name	Description
ulong	i	The index of a discrete parent configuration.

Returns

Type	Description
double	The gamma component.

Remarks

Generic declaration: public double GetGamma (size_t i)

Exceptions

Type	Condition
ExceptionHugin

GetKind()

Returns the Kind of this Node.

Declaration

public override Node.Kind GetKind()

Returns

Type	Description
Node.Kind	H_KIND_CONTINUOUS

Overrides

Node.GetKind()

GetMean()

Returns the mean of the marginal distribution of this ContinuousChanceNode.

Declaration

public double GetMean()

Returns

Type	Description
double	A real number (double precision) expressing the mean.

Exceptions

Type	Condition
ExceptionHugin

GetPredictedMean(ulong)

Returns the predicted mean of the marginal distribution of this ContinuousChanceNode at the specified time point.

Declaration

public double GetPredictedMean(ulong time)

Parameters

Type	Name	Description
ulong	time	The time slice index (a nonnegative integer less than the number of predicted time slices).

Returns

Type	Description
double

Remarks

This method accesses the predictions computed by a previous call to ComputeDBNPredictions(ulong).

Exceptions

Type	Condition
ExceptionHugin

GetPredictedVariance(ulong)

Returns the predicted variance of the marginal distribution of this ContinuousChanceNode at the specified time point.

Declaration

public double GetPredictedVariance(ulong time)

Parameters

Type	Name	Description
ulong	time	The time slice index (a nonnegative integer less than the number of predicted time slices).

Returns

Type	Description
double

Remarks

This method accesses the predictions computed by a previous call to ComputeDBNPredictions(ulong).

Generic declaration: public double GetPredictedVariance (size_t time)

Exceptions

Type	Condition
ExceptionHugin

GetPropagatedValue()

Retrieves the value that has been propagated for this ContinuousChanceNode.

Declaration

public double GetPropagatedValue()

Returns

Type	Description
double	A real number (double precision) expressing the propagated value.

Remarks

Retrieves the value that has been propagated for this ContinuousChanceNode. That is, the value incorporated in the current JunctionTree potentials as the state of this node.

Exceptions

Type	Condition
ExceptionHugin

GetSampledValue()

Returns the value of this ContinuousChanceNode for the configuration generated by the most recent call to Simulate().

Declaration

public double GetSampledValue()

Returns

Type	Description
double	The value sampled for this during the last invocation of Simulate() on the domain of this node.

Exceptions

Type	Condition
ExceptionHugin

GetVariance()

Returns the variance of the marginal distribution of this ContinuousChanceNode.

Declaration

public double GetVariance()

Returns

Type	Description
double

Exceptions

Type	Condition
ExceptionHugin

HasExperienceTable()

Tests if this ContinousChanceNode has an experience table.

Declaration

public bool HasExperienceTable()

Returns

Type	Description
bool	Returns true if this ContinousChanceNode has an experience table; returns false otherwise.

Exceptions

Type	Condition
ExceptionHugin

RetractFindings()

Retracts the evidence (value) entered for this ContinuousChanceNode.

Declaration

public void RetractFindings()

Exceptions

Type	Condition
ExceptionHugin

SetAlpha(double, ulong)

Sets the alpha component of the CG distribution of this ContinuousChanceNode given the discrete parent configuration corresponding to i.

Declaration

public void SetAlpha(double alpha, ulong i)

Parameters

Type	Name	Description
double	alpha	The value of the alpha component.
ulong	i	The index of a discrete parent configuration.

Remarks

Generic declaration: public void SetAlpha (double alpha, size_t i)

Exceptions

Type	Condition
ExceptionHugin

SetBeta(double, ContinuousChanceNode, ulong)

Sets the beta component of the CG distribution of this ContinuousChanceNode given a continuous parent and the discrete parent configuration corresponding to i.

Declaration

public void SetBeta(double beta, ContinuousChanceNode parent, ulong i)

Parameters

Type	Name	Description
double	beta	The value of the beta component.
ContinuousChanceNode	parent	A ContinuousChanceNode parent of this ContinuousChanceNode.
ulong	i	The index of a discrete parent configuration.

Remarks

Generic declaration: public void SetBeta (double beta, ContinuousChanceNode parent, size_t i)

Exceptions

Type	Condition
ExceptionHugin

SetCaseValue(ulong, double)

Sets the value of this ContinuousChanceNode to value in case c.

Declaration

public void SetCaseValue(ulong c, double value)

Parameters

Type	Name	Description
ulong	c	The case index represented as an integer.
double	value	The value represented as a real number.

Remarks

Generic declaration: public void SetCaseValue (size_t c, double value)

Exceptions

Type	Condition
ExceptionHugin

SetGamma(double, ulong)

Sets the gamma component of the CG distribution of this ContinuousChanceNode given the discrete parent configuration corresponding to i.

Declaration

public void SetGamma(double gamma, ulong i)

Parameters

Type	Name	Description
double	gamma	The value of the gamma component.
ulong	i	The index of a discrete parent configuration.

Remarks

Generic declaration: public void SetGamma (double gamma, size_t i)

Exceptions

Type	Condition
ExceptionHugin

UnsetCase(ulong)

Specifies that the value of this ContinuousChanceNode is 'unknown' for case c.

Declaration

public void UnsetCase(ulong c)

Parameters

Type	Name	Description
ulong	c	The case index.

Remarks

Generic declaration: public void UnsetCase (size_t c)

Exceptions

Type	Condition
ExceptionHugin

Implements

ICloneable