Index (BNet.EngineKit API)

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A

AbstractBnetFormat - class com.cra.bnet.io.AbstractBnetFormat.: Skeletal implementation of the BnetFormat interface.
AbstractBnetFormat() - Constructor for class com.cra.bnet.io.AbstractBnetFormat: Empty constructor.
AbstractNode - class com.cra.bnet.engine.AbstractNode.: Skeletal implementation of the Node interface.
AbstractNode() - Constructor for class com.cra.bnet.engine.AbstractNode
AbstractQueueNode - class com.cra.bnet.engine.AbstractQueueNode.: Skeletal implementation of the QueueNode interface.
AbstractQueueNode() - Constructor for class com.cra.bnet.engine.AbstractQueueNode
accept(BeliefEvent) - Method in class com.cra.bnet.engine.ThresholdBeliefCondition
accept(BeliefEvent) - Method in interface com.cra.bnet.engine.BeliefCondition: Returns true if the specified belief event meets this condition.
ad - Variable in class com.cra.bnet.engine.GeneratedEngineBase: these five arrays store partial results of belief calculations
add(Potential) - Method in class com.cra.bnet.engine.Potential: Adds this potential to the specified potential and returns the result.
addBeliefListener(BeliefListener) - Method in class com.cra.bnet.engine.Node: Registers the specified belief listener to receive belief events when this node's beliefs change.
addBeliefListener(BeliefListener) - Method in class com.cra.bnet.engine.BeliefAlert: Registers the specified belief listener so it will receive notification when belief events pass this alert's condition.
addBeliefListener(BeliefListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified listener to receive belief events when beliefs of any node in this Bayesian network change.
addChangeListener(ChangeListener) - Method in class com.cra.bnet.engine.StructuralModificationSupport: Registers the specified change listener to receive events whenever structural modifications are made to the Bayesian network.
addChangeListener(ChangeListener) - Method in class com.cra.bnet.engine.BeliefUpdater: Registers the specified listener with this belief updater so it will receive change events whenever this belief updater is notified of any modifications to the Bayesian network.
addChild(AddNode) - Method in class com.cra.bnet.engine.MultiplyNode: Adds the specified addition node to this node's child list.
addChild(AmgNode) - Method in class com.cra.bnet.engine.AbstractNode: Adds the specified node to this node's child list.
addChild(CptEntryNode) - Method in class com.cra.bnet.engine.MultiplyNode: Adds the specified cpt entry node to this node's child list.
addChild(EvidenceNode) - Method in class com.cra.bnet.engine.MultiplyNode: Adds the specified evidence node to this node's child list.
addChild(MultiplyNode) - Method in class com.cra.bnet.engine.AddNode: Adds the specified multiply node to this node's child list.
addCptListener(CptListener) - Method in class com.cra.bnet.engine.Node: Registers the specified CPT listener to receive CPT events when this node's CPT changes.
addCptListener(CptListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified listener to receive cpt events when the cpt of any node in this Bayesian network changes.
addDiscreteNode(String) - Method in class com.cra.bnet.engine.BayesianNetwork: Adds a new discrete node to this Bayesian network that has the specified name and two states: true and false.
addDiscreteNode(String, List) - Method in class com.cra.bnet.engine.BayesianNetwork: Adds a new discrete node to this Bayesian network that has the specified name and states.
addEdge(Node, Node) - Method in class com.cra.bnet.engine.BayesianNetwork: Adds an edge from the specified parent to the specified child to this Bayesian network.
addEdit(UndoableEdit) - Method in class com.cra.bnet.engine.BayesianNetwork.RemoveNodeEdit
addEdit(UndoableEdit) - Method in class com.cra.bnet.engine.BayesianNetwork.CompoundPostEvidenceEdit
addEdit(UndoableEdit) - Method in class com.cra.bnet.engine.BayesianNetwork.CompoundChangeLocationEdit
addEdit(UndoableEdit) - Method in class com.cra.bnet.engine.BayesianNetwork.CompoundChangeCptEntryEdit
addEmEtaListener(EmEtaListener) - Method in class com.cra.bnet.learn.EmEtaLearningAlgorithm: Registers the specified listener so that it will receive events from this learning algorithm.
addErrorListener(ErrorListener) - Method in class com.cra.bnet.error.ErrorNotifier: Registers the specified error listener so it will receive errors.
addEvidenceListener(EvidenceListener) - Method in class com.cra.bnet.engine.Node: Registers the specified listener to receive evidence events when evidence is posted to or retracted from this node.
addEvidenceListener(EvidenceListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified listener to receive evidence events when evidence is posted to or retracted from any node in this Bayesian network.
AddMultiplyGraph - class com.cra.bnet.engine.AddMultiplyGraph.: An Add-Multiply Graph used to calculate beliefs in a Bayesian network.
AddMultiplyGraph() - Constructor for class com.cra.bnet.engine.AddMultiplyGraph: Creates a new empty AddMultiplyGraph.
AddMultiplyGraph(AddNode[]) - Constructor for class com.cra.bnet.engine.AddMultiplyGraph: Creates a new AddMultiplyGraph using the specified root node.
AddMultiplyGraphFactory - class com.cra.bnet.engine.AddMultiplyGraphFactory.: Factory for creating AddMultiplyGraph objects.
AddNode - class com.cra.bnet.engine.AddNode.: Represents an addition node in the AMG.
AddNode(Set[], int, int) - Constructor for class com.cra.bnet.engine.AddNode: Creates a new AddNode using the specified separator index and instantiation index.
addNodeLengths() - Method in class com.cra.bnet.engine.GeneratedEngineBase
addNodeListener(NodeListener) - Method in class com.cra.bnet.engine.Node: Registers the specified node listener to receive node events when aspects of this node change.
addNodeListener(NodeListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified listener to receive node events when aspects of any node in this Bayesian network change.
addNodePropertyChangeListener(PropertyChangeListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified property change listener to receive events when the user properties of any node in this Bayesian network change.
addParent(AddNode) - Method in class com.cra.bnet.engine.MultiplyNode: Adds the specified addition node to this node's parent list.
addParent(AmgNode) - Method in class com.cra.bnet.engine.AbstractNode: Adds the specified node to this node's parent list.
addParent(MultiplyNode) - Method in class com.cra.bnet.engine.EvidenceNode: Adds the specified multiply node to this node's parent list.
addParent(MultiplyNode) - Method in class com.cra.bnet.engine.CptEntryNode: Adds the specified multiply node to this node's parent list.
addParent(MultiplyNode) - Method in class com.cra.bnet.engine.AddNode: Adds the specified multiply node to this nodes parent list.
addPropertyChangeListener(PropertyChangeListener) - Method in class com.cra.bnet.engine.Node: Registers the specified property change listener to receive events when the user properties of this node change.
addPropertyChangeListener(PropertyChangeListener) - Method in class com.cra.bnet.engine.BeliefUpdater: Registers the specified listener so it will receive property change events.
addPropertyChangeListener(PropertyChangeListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified property change listener to receive events when the user properties of this Bayesian network change.
addPropertyChangeListener(PropertyChangeListener, String) - Method in class com.cra.bnet.engine.BeliefUpdater: Registers the specified listener so it will receive property change events for the specified property.
addStateListener(StateListener) - Method in class com.cra.bnet.engine.DiscreteNode: Registers the specified state listener to receive events when this discrete node's states change.
addStateListener(StateListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified listener to receive state events when states of any node in this Bayesian network change.
addTopologyListener(TopologyListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified topology listener to receive topology events from this Bayesian network.
addUndoableEditListener(UndoableEditListener) - Method in class com.cra.bnet.engine.BayesianNetwork: Registers the specified listener to receive undoable edit events from this Bayesian network.
ALGORITHM_FINISHED - Static variable in class com.cra.bnet.learn.EmEtaEvent: The algorithm finished event type.
ALGORITHM_PAUSED - Static variable in class com.cra.bnet.learn.EmEtaEvent: The algorithm paused event type.
ALGORITHM_RESUMED - Static variable in class com.cra.bnet.learn.EmEtaEvent: The algorithm resumed event type.
ALGORITHM_STARTED - Static variable in class com.cra.bnet.learn.EmEtaEvent: The algorithm started event type.
ALGORITHM_STOPPED - Static variable in class com.cra.bnet.learn.EmEtaEvent: The algorithm stopped event type.
algorithmFinished(EmEtaEvent) - Method in interface com.cra.bnet.learn.EmEtaListener: Invoked when the algorithm is finished.
algorithmFinished(EmEtaEvent) - Method in class com.cra.bnet.learn.EmEtaAdapter: Invoked when the algorithm is finished.
algorithmPaused(EmEtaEvent) - Method in interface com.cra.bnet.learn.EmEtaListener: Invoked when the algorithm has been paused.
algorithmPaused(EmEtaEvent) - Method in class com.cra.bnet.learn.EmEtaAdapter: Invoked when the algorithm has been paused.
algorithmResumed(EmEtaEvent) - Method in interface com.cra.bnet.learn.EmEtaListener: Invoked when the algorithm has been resumed.
algorithmResumed(EmEtaEvent) - Method in class com.cra.bnet.learn.EmEtaAdapter: Invoked when the algorithm has been resumed.
algorithmStarted(EmEtaEvent) - Method in interface com.cra.bnet.learn.EmEtaListener: Invoked when the algorithm has started.
algorithmStarted(EmEtaEvent) - Method in class com.cra.bnet.learn.EmEtaAdapter: Invoked when the algorithm has started.
algorithmStopped(EmEtaEvent) - Method in interface com.cra.bnet.learn.EmEtaListener: Invoked when the algorithm has been stopped.
algorithmStopped(EmEtaEvent) - Method in class com.cra.bnet.learn.EmEtaAdapter: Invoked when the algorithm has been stopped.
ALL_EVIDENCE_RETRACTED - Static variable in class com.cra.bnet.engine.EvidenceEvent: The all evidence retracted event type.
ALL_EVIDENCE_RETRACTED - Static variable in class com.cra.bnet.engine.BeliefUpdater: The integer mask for all evidence retracted.
allEntriesChanged(CptEvent) - Method in interface com.cra.bnet.engine.CptListener: Invoked when all entries of a cpt have changed.
allEntriesChanged(CptEvent) - Method in class com.cra.bnet.engine.CptAdapter
allEvidenceRetracted(EvidenceEvent) - Method in interface com.cra.bnet.engine.EvidenceListener: Invoked when all evidence was retracted from a Bayesian network.
allEvidenceRetracted(EvidenceEvent) - Method in class com.cra.bnet.engine.EvidenceAdapter
AmgInferenceEngine - class com.cra.bnet.engine.AmgInferenceEngine.: Inference engine based on an add-multiply graph.
AmgInferenceEngine(BayesianNetwork) - Constructor for class com.cra.bnet.engine.AmgInferenceEngine: Creates a new AMG inference engine using the specified Bayesian network.
AmgInferenceEngine(BayesianNetwork, boolean) - Constructor for class com.cra.bnet.engine.AmgInferenceEngine: Creates a new AMG inference engine using the specified Bayesian network.
AmgNode - interface com.cra.bnet.engine.AmgNode.: Represents a node in the AMG.
AmgUtilities - class com.cra.bnet.engine.AmgUtilities.: Add-multiply graph utilities.
AmgUtilities() - Constructor for class com.cra.bnet.engine.AmgUtilities
assertDebug(boolean, RuntimeException) - Static method in class com.cra.bnet.debug.DebugUtils
assertTrue(boolean, RuntimeException) - Static method in class com.cra.bnet.debug.DebugUtils: This method was changed from assert to assertTrue since assert is a keywork in Java 1.4.
av - Variable in class com.cra.bnet.engine.GeneratedEngineBase: these five arrays store partial results of belief calculations

B

b - Variable in class com.cra.bnet.engine.GeneratedEngineBase: b[i][j] = belief for state j of node i
BayesianNetwork - class com.cra.bnet.engine.BayesianNetwork.: A Bayesian network (also known as a belief network or Bayesian belief network).
BayesianNetwork.AddEdgeEdit - class com.cra.bnet.engine.BayesianNetwork.AddEdgeEdit.: Undoable edit for adding an edge.
BayesianNetwork.AddNodeEdit - class com.cra.bnet.engine.BayesianNetwork.AddNodeEdit.: Undoable edit for adding a node.
BayesianNetwork.AddStateEdit - class com.cra.bnet.engine.BayesianNetwork.AddStateEdit.: Undoable edit for adding a state.
BayesianNetwork.ChangeCptEntryEdit - class com.cra.bnet.engine.BayesianNetwork.ChangeCptEntryEdit.: Undoable edit for changing a cpt entry.
BayesianNetwork.ChangeLocationEdit - class com.cra.bnet.engine.BayesianNetwork.ChangeLocationEdit.: Undoable edit for changing a node's location.
BayesianNetwork.ChangeNodeDescriptionEdit - class com.cra.bnet.engine.BayesianNetwork.ChangeNodeDescriptionEdit.: Undoable edit for changing a node's description.
BayesianNetwork.ClearEvidenceEdit - class com.cra.bnet.engine.BayesianNetwork.ClearEvidenceEdit.: Undoable edit for removing all evidence.
BayesianNetwork.CompoundChangeCptEntryEdit - class com.cra.bnet.engine.BayesianNetwork.CompoundChangeCptEntryEdit.: Undoable edit for changing multiple cpt entries.
BayesianNetwork.CompoundChangeCptEntryEdit() - Constructor for class com.cra.bnet.engine.BayesianNetwork.CompoundChangeCptEntryEdit
BayesianNetwork.CompoundChangeCptEntryEdit(String) - Constructor for class com.cra.bnet.engine.BayesianNetwork.CompoundChangeCptEntryEdit
BayesianNetwork.CompoundChangeLocationEdit - class com.cra.bnet.engine.BayesianNetwork.CompoundChangeLocationEdit.: Undoable edit for grouping multiple moves together.
BayesianNetwork.CompoundChangeLocationEdit() - Constructor for class com.cra.bnet.engine.BayesianNetwork.CompoundChangeLocationEdit
BayesianNetwork.CompoundChangeLocationEdit(String) - Constructor for class com.cra.bnet.engine.BayesianNetwork.CompoundChangeLocationEdit
BayesianNetwork.CompoundPostEvidenceEdit - class com.cra.bnet.engine.BayesianNetwork.CompoundPostEvidenceEdit.: Undoable edit for posting multiple pieces of evidence.
BayesianNetwork.CompoundPostEvidenceEdit() - Constructor for class com.cra.bnet.engine.BayesianNetwork.CompoundPostEvidenceEdit
BayesianNetwork.CompoundPostEvidenceEdit(String) - Constructor for class com.cra.bnet.engine.BayesianNetwork.CompoundPostEvidenceEdit
BayesianNetwork.PostEvidenceEdit - class com.cra.bnet.engine.BayesianNetwork.PostEvidenceEdit.: Undoable edit for posting evidence.
BayesianNetwork.RemoveEdgeEdit - class com.cra.bnet.engine.BayesianNetwork.RemoveEdgeEdit.: Undoable edit for removing an edge.
BayesianNetwork.RemoveEvidenceEdit - class com.cra.bnet.engine.BayesianNetwork.RemoveEvidenceEdit.: Undoable edit for removing evidence.
BayesianNetwork.RemoveNodeEdit - class com.cra.bnet.engine.BayesianNetwork.RemoveNodeEdit.: Undoable edit for removing a node.
BayesianNetwork.RemoveStateEdit - class com.cra.bnet.engine.BayesianNetwork.RemoveStateEdit.: Undoable edit for removing a state.
BayesianNetwork.RenameNetworkEdit - class com.cra.bnet.engine.BayesianNetwork.RenameNetworkEdit.: Undoable edit for renaming the network.
BayesianNetwork.RenameNodeEdit - class com.cra.bnet.engine.BayesianNetwork.RenameNodeEdit.: Undoable edit for renaming a node.
BayesianNetwork.RenameStateEdit - class com.cra.bnet.engine.BayesianNetwork.RenameStateEdit.: Undoable edit for renaming a state.
BayesianNetwork.ReorderParentEdit - class com.cra.bnet.engine.BayesianNetwork.ReorderParentEdit.: Undoable edit for reordering a parent.
BayesianNetwork.ReorderStateEdit - class com.cra.bnet.engine.BayesianNetwork.ReorderStateEdit.: Undoable edit for reordering a state.
BayesianNetwork() - Constructor for class com.cra.bnet.engine.BayesianNetwork: Creates a new, empty BayesianNetwork.
BayesianNetwork(BayesianNetwork) - Constructor for class com.cra.bnet.engine.BayesianNetwork: Creates a new BayesianNetwork that is a copy of the specified Bayesian network.
BayesianNetworks - class com.cra.bnet.engine.BayesianNetworks.: Utility methods for Bayesian networks.
BeliefAdapter - class com.cra.bnet.engine.BeliefAdapter.: An abstract adapter class for receiving belief events.
BeliefAdapter() - Constructor for class com.cra.bnet.engine.BeliefAdapter
BeliefAlert - class com.cra.bnet.engine.BeliefAlert.: Alerts belief listeners when a belief event meets a certain condition.
BeliefAlert(BeliefCondition) - Constructor for class com.cra.bnet.engine.BeliefAlert: Creates a new BeliefAlert using the specified condition.
BeliefAlert(BeliefCondition, BeliefListener) - Constructor for class com.cra.bnet.engine.BeliefAlert: Creates a new BeliefAlert using the specified condition and belief listener.
BeliefCondition - interface com.cra.bnet.engine.BeliefCondition.: Tests a belief event using some condition.
BeliefEvent - class com.cra.bnet.engine.BeliefEvent.: An event representing a change in beliefs for a node in a Bayesian network.
BeliefEvent(Node, double[], boolean) - Constructor for class com.cra.bnet.engine.BeliefEvent: Creates a new BeliefEvent.
BeliefListener - interface com.cra.bnet.engine.BeliefListener.: A listener for receiving events when beliefs change.
beliefsChanged(BeliefEvent) - Method in interface com.cra.bnet.engine.BeliefListener: Invoked when beliefs have changed.
beliefsChanged(BeliefEvent) - Method in class com.cra.bnet.engine.BeliefAdapter
beliefsInvalid(BeliefEvent) - Method in interface com.cra.bnet.engine.BeliefListener: Invoked when a modification was made to the Bayesian network that caused beliefs to become invalid.
beliefsInvalid(BeliefEvent) - Method in class com.cra.bnet.engine.BeliefAdapter
BeliefUpdater - class com.cra.bnet.engine.BeliefUpdater.: Controls automatic updating of beliefs for a Bayesian network.
BnetError - exception com.cra.bnet.error.BnetError.: A BNet-related error.
BnetError(BayesianNetwork) - Constructor for class com.cra.bnet.error.BnetError: Creates a new BnetError.
BnetError(BayesianNetwork, String) - Constructor for class com.cra.bnet.error.BnetError: Creates a new BnetError using the specified message.
BnetFormat - interface com.cra.bnet.io.BnetFormat.: A utility for reading and writing Bayesian networks in some format.
BnetFormatFactory - class com.cra.bnet.io.BnetFormatFactory.: A factory that provides BnetFormat implementations for clients to use.
BufferedRegExpReader - class com.cra.bnet.io.BufferedRegExpReader.: Reader implementation that buffers characters read from a regular expression matcher.
BufferedRegExpReader(Reader) - Constructor for class com.cra.bnet.io.BufferedRegExpReader: Creates a new BufferedRegExpReader that wraps the specified reader.

C

c - Variable in class com.cra.bnet.engine.GeneratedEngineBase: c[i][j] = conditional probability for configuration j of node i
calculateBeliefs(DiscreteNode) - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Calculates the current beliefs for the specified variable given the current evidence.
calculateBeliefs(DiscreteNode) - Method in class com.cra.bnet.engine.HuginInferenceEngine: Calculates the current beliefs for the specified variable given the current evidence.
calculateBeliefs0() - Method in class com.cra.bnet.engine.GeneratedEngineBase
Case - interface com.cra.bnet.learn.Case.: A single case in a data set used for learning Bayesian networks.
charAt(int) - Method in class com.cra.bnet.io.BufferedRegExpReader: Returns the character at the specified index.
clear() - Method in class com.cra.bnet.engine.PotentialMappings: Removes all mappings from this potential mappings object.
clearAllEvidence() - Method in interface com.cra.bnet.engine.LightweightBayesianNetwork
clearAllEvidence() - Method in class com.cra.bnet.engine.GeneratedEngineBase
clearEvidence() - Method in class com.cra.bnet.engine.ScgInferenceEngine
clearEvidence() - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Removes (or equivalently, retracts) evidence from all nodes in the network.
clearEvidence() - Method in interface com.cra.bnet.engine.InferenceEngine: Removes (or equivalently, retracts) evidence from all nodes in the network.
clearEvidence() - Method in class com.cra.bnet.engine.BayesianNetwork: Retracts evidence from all nodes in this Bayesian network.
clearEvidence() - Method in class com.cra.bnet.engine.AmgInferenceEngine
clearEvidence(int) - Method in interface com.cra.bnet.engine.LightweightBayesianNetwork
clearEvidence(int) - Method in class com.cra.bnet.engine.GeneratedEngineBase
close() - Method in class com.cra.bnet.io.CraPushbackReader: Closes the stream.
close() - Method in class com.cra.bnet.io.BufferedRegExpReader: Closes this reader.
com.cra.bnet.debug - package com.cra.bnet.debug: Debugging utilities.
com.cra.bnet.engine - package com.cra.bnet.engine: Core Bayesian network data structures and algorithms.
com.cra.bnet.error - package com.cra.bnet.error: Error classes.
com.cra.bnet.io - package com.cra.bnet.io: Classes for reading Bayesian networks from files and writing Bayesian networks to files.
com.cra.bnet.learn - package com.cra.bnet.learn: Classes for learning Bayesian networks from data.
compare(double, double) - Method in class com.cra.bnet.engine.ThresholdBeliefCondition.ComparisonOperator: Compares the first specified number to the second specified number.
ComplexDataSet - class com.cra.bnet.learn.ComplexDataSet.: A more complex implementation of the DataSet interface.
ComplexDataSet(File, BayesianNetwork) - Constructor for class com.cra.bnet.learn.ComplexDataSet: Creates a new ComplexDataSet using the data in the specified file and the specified Bayesian network.
computDerivative() - Method in class com.cra.bnet.engine.ConstantNode
computeDerivative() - Method in class com.cra.bnet.engine.AddNode
computeDerivative() - Method in class com.cra.bnet.engine.AbstractNode: Computes the derivative for this node.
computeValue() - Method in class com.cra.bnet.engine.MultiplyNode
computeValue() - Method in class com.cra.bnet.engine.EvidenceNode
computeValue() - Method in class com.cra.bnet.engine.CptEntryNode
computeValue() - Method in class com.cra.bnet.engine.ConstantNode
computeValue() - Method in class com.cra.bnet.engine.AddNode
computeValue() - Method in class com.cra.bnet.engine.AbstractNode: Computes the value for this node.
condProbs() - Method in class com.cra.bnet.engine.GeneratedEngineBase
ConstantNode - class com.cra.bnet.engine.ConstantNode.: Represents a constant node in the AMG.
ConstantNode(double) - Constructor for class com.cra.bnet.engine.ConstantNode
convertToIndex(int, int[]) - Method in class com.cra.bnet.engine.Cpt: Converts the specific node index and parent indices into a single index that can be used with the get(int) and set(int, double) methods.
convertToNodeAndParentIndices(int, int[]) - Method in class com.cra.bnet.engine.Cpt: Converts the specified single CPT array index into the corresponding node index and parent indices.
copy(double[]) - Static method in class com.cra.bnet.engine.BayesianNetworks: Returns a new array that is a copy of the specified array.
Cpd - interface com.cra.bnet.engine.Cpd.: A conditional probability distribution for a node in a Bayesian network.
Cpt - class com.cra.bnet.engine.Cpt.: A conditional probability table (CPT) for a discrete node in a Bayesian network.
CPT_ENTRY_CHANGED - Static variable in class com.cra.bnet.engine.BeliefUpdater: The integer mask for cpt entry changed.
CptAdapter - class com.cra.bnet.engine.CptAdapter.: An abstract adapter class for receiving CPT events.
CptAdapter() - Constructor for class com.cra.bnet.engine.CptAdapter
CptEntryNode - class com.cra.bnet.engine.CptEntryNode.: Represents a cpt entry node in the AMG.
CptEntryNode(DiscreteNode, int, int, double) - Constructor for class com.cra.bnet.engine.CptEntryNode: Creates a new CptEntryNode using the specified variable index, instantiation index, and probability.
CptEvent - class com.cra.bnet.engine.CptEvent.: An event representing a change in a cpt entry.
CptEvent(DiscreteNode) - Constructor for class com.cra.bnet.engine.CptEvent: Creates a new CptEvent that represents a change to all entries in the specified node's conditional probability table.
CptEvent(DiscreteNode, int, int[], double, double) - Constructor for class com.cra.bnet.engine.CptEvent: Creates a new CptEvent.
CptListener - interface com.cra.bnet.engine.CptListener.: A listener for receiving events when cpt entries change.
CraPushbackReader - class com.cra.bnet.io.CraPushbackReader.: A reader that allows characters to be pushed back into the stream.
CraPushbackReader(Reader) - Constructor for class com.cra.bnet.io.CraPushbackReader: Creates a new CraPushbackReader that wraps the specified reader.
createAddMultiplyGraph(BayesianNetwork) - Static method in class com.cra.bnet.engine.AddMultiplyGraphFactory: Creates a new Add-Multiply Graph using the specified Bayesian network.
createFormat(BufferedRegExpReader) - Method in class com.cra.bnet.io.BnetFormatFactory: Returns a BnetFormat implementation that is capable of reading a Bayesian network from the specified reader.
createHardEvidence(int, int) - Static method in class com.cra.bnet.engine.AmgUtilities: Returns an array of the specified length that represents hard evidence for the specified state.
createName() - Method in class com.cra.bnet.engine.MultiplyNode
createName() - Method in class com.cra.bnet.engine.EvidenceNode
createName() - Method in class com.cra.bnet.engine.CptEntryNode
createName() - Method in class com.cra.bnet.engine.ConstantNode
createName() - Method in class com.cra.bnet.engine.AddNode
createName() - Method in class com.cra.bnet.engine.AbstractNode
CycleError - exception com.cra.bnet.error.CycleError.: An error that occurs when a cycle-creating edge was added to a Bayesian network.
CycleError(BayesianNetwork, Node, Node) - Constructor for class com.cra.bnet.error.CycleError: Creates a new CycleError using the specified network model, source node, and target node.

D

DataSet - interface com.cra.bnet.learn.DataSet.: A data set used for learning Bayesian networks.
DataSetUtil - class com.cra.bnet.learn.DataSetUtil.: Utility class for data files used for learning.
DEBUG - Static variable in class com.cra.bnet.debug.DebugUtils: Set the system property "com.cra.util.debug.DebugUtils.RELEASE" to the value "RELEASE" to set this field false.
DebugUtils - class com.cra.bnet.debug.DebugUtils.: Debugging utilities.
DecisionAnalysisTools - class com.cra.bnet.engine.DecisionAnalysisTools.: Decision analysis utility class.
DEFAULT_PARAMETERS - Static variable in class com.cra.bnet.learn.EmEtaParameters: Default parameters.
derivativeName - Variable in class com.cra.bnet.engine.AbstractNode
DESCRIPTION_CHANGED - Static variable in class com.cra.bnet.engine.NodeEvent: The description changed event type.
DESCRIPTION_PROPERTY - Static variable in class com.cra.bnet.engine.BayesianNetwork: The Bayesian network description property.
descriptionChanged(NodeEvent) - Method in interface com.cra.bnet.engine.NodeListener: Invoked when the node's description has been changed.
descriptionChanged(NodeEvent) - Method in class com.cra.bnet.engine.NodeAdapter
DisconnectedNetworkError - exception com.cra.bnet.error.DisconnectedNetworkError.: An error that occurs when inference is attempted on a disconnected Bayesian network.
DisconnectedNetworkError(BayesianNetwork) - Constructor for class com.cra.bnet.error.DisconnectedNetworkError: Creates a new DisconnectedNetworkError.
DiscreteNode - class com.cra.bnet.engine.DiscreteNode.: A discrete node in a Bayesian network.
discreteNodeSet() - Method in class com.cra.bnet.engine.BayesianNetwork: Returns a set view of the discrete nodes contained in this Bayesian network.
Discretizer - class com.cra.bnet.engine.Discretizer.: Discretizes a value of a continuous variable to a state of a discrete variable.
Discretizer(double[]) - Constructor for class com.cra.bnet.engine.Discretizer: Creates a new Discretizer using the specified boundaries.
divideBy(Potential) - Method in class com.cra.bnet.engine.Potential: Divides this potential by the specified potential and returns the result.
dump(PrintWriter) - Method in class com.cra.bnet.engine.Potential: Prints this potential to the specified print writer.
DuplicateEdgeError - exception com.cra.bnet.error.DuplicateEdgeError.: An error that occurs when a duplicate edge was added to a Bayesian network.
DuplicateEdgeError(BayesianNetwork, Node, Node) - Constructor for class com.cra.bnet.error.DuplicateEdgeError: Creates a new DuplicateEdgeError using the specified network model, source node, and target node.
DuplicateNodeError - exception com.cra.bnet.error.DuplicateNodeError.: An error that occurs when a duplicate node was added to a Bayesian network.
DuplicateNodeError(BayesianNetwork, String) - Constructor for class com.cra.bnet.error.DuplicateNodeError: Creates a new DuplicateNodeError using the specified name.

E

e - Variable in class com.cra.bnet.engine.GeneratedEngineBase: e[i][j] = evidence for state j of node i
ed - Variable in class com.cra.bnet.engine.GeneratedEngineBase: these five arrays store partial results of belief calculations
EDGE_ADDED - Static variable in class com.cra.bnet.engine.TopologyEvent: The edge added event type.
EDGE_ADDED - Static variable in class com.cra.bnet.engine.BeliefUpdater: The integer mask for edge added.
EDGE_REMOVED - Static variable in class com.cra.bnet.engine.TopologyEvent: The edge removed event type.
EDGE_REMOVED - Static variable in class com.cra.bnet.engine.BeliefUpdater: The integer mask for edge removed.
edgeAdded(TopologyEvent) - Method in interface com.cra.bnet.engine.TopologyListener: Invoked when an edge has been added to a Bayesian network.
edgeAdded(TopologyEvent) - Method in class com.cra.bnet.engine.TopologyAdapter
edgeRemoved(TopologyEvent) - Method in interface com.cra.bnet.engine.TopologyListener: Invoked when an edge has been removed from a Bayesian network.
edgeRemoved(TopologyEvent) - Method in class com.cra.bnet.engine.TopologyAdapter
EmEtaAdapter - class com.cra.bnet.learn.EmEtaAdapter.: Adapter class for the EmEtaListener interface.
EmEtaAdapter() - Constructor for class com.cra.bnet.learn.EmEtaAdapter: Empty constructor.
EmEtaEvent - class com.cra.bnet.learn.EmEtaEvent.: An event fired by the EmEta learning algorithm.
EmEtaEvent.EmEtaEventType - class com.cra.bnet.learn.EmEtaEvent.EmEtaEventType.
EmEtaEvent(EmEtaLearningAlgorithm, double, int, EmEtaEvent.EmEtaEventType) - Constructor for class com.cra.bnet.learn.EmEtaEvent: Creates a new EmEtaEvent using the specified parameters.
EmEtaLearningAlgorithm - class com.cra.bnet.learn.EmEtaLearningAlgorithm.: The parameterized EM algorithm for learning cpt entries in a Bayesian network.
EmEtaLearningAlgorithm() - Constructor for class com.cra.bnet.learn.EmEtaLearningAlgorithm: Creates a new EmEtaLearningAlgorithm object.
EmEtaLearningAlgorithm(EmEtaParameters) - Constructor for class com.cra.bnet.learn.EmEtaLearningAlgorithm: Creates a new EmEtaLearningAlgorithm that uses the specified parameters.
EmEtaListener - interface com.cra.bnet.learn.EmEtaListener.: A listener for receiving notifications about the status of the EmEta learning algorithm.
EmEtaParameters - class com.cra.bnet.learn.EmEtaParameters.: Parameters for the EmEta learning algorithm.
EmEtaParameters(double, int, double) - Constructor for class com.cra.bnet.learn.EmEtaParameters: Creates a new EmEtaParameters object using the specified values.
EMPTY_PARENT_INDICES - Static variable in class com.cra.bnet.engine.Cpt: A zero-length array for use when getting or setting the CPT entries of a root node.
end() - Method in class com.cra.bnet.engine.BayesianNetwork.RemoveNodeEdit
end() - Method in class com.cra.bnet.engine.BayesianNetwork.CompoundPostEvidenceEdit
end() - Method in class com.cra.bnet.engine.BayesianNetwork.CompoundChangeLocationEdit
end() - Method in class com.cra.bnet.engine.BayesianNetwork.CompoundChangeCptEntryEdit
EngineUtilities - class com.cra.bnet.engine.EngineUtilities.: BNet engine utility methods.
ensureSum(double[], int, BigDecimal) - Static method in class com.cra.bnet.engine.EngineUtilities: Returns a big decimal array containing the elements of the specified double array rounded off to the specified number of significant digits that add up exactly to the specified target.
entryChanged(CptEvent) - Method in interface com.cra.bnet.engine.CptListener: Invoked when a cpt entry has changed.
entryChanged(CptEvent) - Method in class com.cra.bnet.engine.CptAdapter
EQUAL_TO - Static variable in class com.cra.bnet.engine.ThresholdBeliefCondition: The equal-to operator.
equals(Object) - Method in class com.cra.bnet.engine.Potential: Compares the specified object with this potential for equality.
equals(Object) - Method in class com.cra.bnet.engine.Node: Returns true if the specified object is equal to this node.
error(BnetError) - Method in interface com.cra.bnet.error.ErrorListener: Invoked when an error occurs.
ErrorListener - interface com.cra.bnet.error.ErrorListener.: A listener for receiving error events.
ErrorNotifier - class com.cra.bnet.error.ErrorNotifier.: A class used to notify error listeners that an error occurred.
EVIDENCE_POSTED - Static variable in class com.cra.bnet.engine.EvidenceEvent: The evidence posted event type.
EVIDENCE_POSTED - Static variable in class com.cra.bnet.engine.BeliefUpdater: The integer mask for evidence posted.
EVIDENCE_RETRACTED - Static variable in class com.cra.bnet.engine.EvidenceEvent: The evidence retracted event type.
EVIDENCE_RETRACTED - Static variable in class com.cra.bnet.engine.BeliefUpdater: The integer mask for evidence retracted.
EvidenceAdapter - class com.cra.bnet.engine.EvidenceAdapter.: An abstract adapter class for receiving evidence events.
EvidenceAdapter() - Constructor for class com.cra.bnet.engine.EvidenceAdapter
EvidenceEvent - class com.cra.bnet.engine.EvidenceEvent.: An event representing either evidence posted to or retracted from a Bayesian network.
EvidenceEvent(BayesianNetwork) - Constructor for class com.cra.bnet.engine.EvidenceEvent: Creates a new EvidenceEvent representing a retraction of all evidence from a Bayesian network.
EvidenceEvent(Node, double[]) - Constructor for class com.cra.bnet.engine.EvidenceEvent: Creates a new EvidenceEvent representing a posting of new evidence.
EvidenceEvent(Node, double[], boolean) - Constructor for class com.cra.bnet.engine.EvidenceEvent: Creates a new EvidenceEvent representing a retraction of evidence.
EvidenceListener - interface com.cra.bnet.engine.EvidenceListener.: A listener for receiving events when evidence is posted to or retracted from a Bayesian network.
EvidenceNode - class com.cra.bnet.engine.EvidenceNode.: Represents an evidence node in the AMG.
EvidenceNode(DiscreteNode, int, int) - Constructor for class com.cra.bnet.engine.EvidenceNode: Creates a new EvidenceNode using the specified variable index and instantiation index.
evidencePosted(EvidenceEvent) - Method in interface com.cra.bnet.engine.EvidenceListener: Invoked when evidence was posted to a node in a Bayesian network.
evidencePosted(EvidenceEvent) - Method in class com.cra.bnet.engine.EvidenceAdapter
evidenceRetracted(EvidenceEvent) - Method in interface com.cra.bnet.engine.EvidenceListener: Invoked when evidence was retracted from a node in a Bayesian network.
evidenceRetracted(EvidenceEvent) - Method in class com.cra.bnet.engine.EvidenceAdapter

F

fireAlgorithmFinished(double, int) - Method in class com.cra.bnet.learn.EmEtaLearningAlgorithm: Fires an algorithmFinished event to all listeners.
fireAlgorithmPaused(double, int) - Method in class com.cra.bnet.learn.EmEtaLearningAlgorithm: Fires an algorithmPaused event to all listeners.
fireAlgorithmResumed(double, int) - Method in class com.cra.bnet.learn.EmEtaLearningAlgorithm: Fires an algorithmResumed event to all listeners.
fireAlgorithmStarted(double, int) - Method in class com.cra.bnet.learn.EmEtaLearningAlgorithm: Fires an algorithmStarted event to all listeners.
fireAlgorithmStopped(double, int) - Method in class com.cra.bnet.learn.EmEtaLearningAlgorithm: Fires an algorithmStopped event to all listeners.
fireAllEntriesChanged(CptEvent) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies cpt listeners and the belief updater that this node's entire cpt changed.
fireAllEvidenceRetracted() - Method in class com.cra.bnet.engine.BayesianNetwork: Notifies evidence listeners and the belief updater that all evidence was retracted from this Bayesian network.
fireBeliefEvent(double[], boolean) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies belief listeners that this node's beliefs changed.
fireBeliefsChanged(BeliefEvent) - Method in class com.cra.bnet.engine.BeliefAlert: Fires the specified belief event to all registered belief listeners.
fireChangeEvent() - Method in class com.cra.bnet.engine.StructuralModificationSupport: Fires a change event to all registered change listeners.
fireDescriptionChanged(String, String) - Method in class com.cra.bnet.engine.Node: Notifies node listeners that this node's description was changed.
fireEdgeAdded(Edge) - Method in class com.cra.bnet.engine.BayesianNetwork: Notifies topology listeners and the belief updater that an edge was added to this Bayesian network.
fireEdgeRemoved(Edge) - Method in class com.cra.bnet.engine.BayesianNetwork: Notifies topology listeners and the belief updater that an edge was removed from this Bayesian network.
fireEntryChanged(CptEvent) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies cpt listeners that this node's cpt changed.
fireEvidencePosted(double[]) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies evidence listeners and the belief updater that evidence was posted to this node.
fireEvidenceRetracted(double[]) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies evidence listeners and the belief updater that evidence was retracted from this node.
fireInconsistentEvidenceRetracted(double[]) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies evidence listeners that inconsistent evidence was retracted from this node.
fireInvalidBeliefs() - Method in class com.cra.bnet.engine.BayesianNetwork: Notifies belief listeners that all nodes have invalid beliefs.
fireIterationFinished(double, int) - Method in class com.cra.bnet.learn.EmEtaLearningAlgorithm: Fires an algorithmFinished event to all listeners.
fireLocationChanged(Point, Point) - Method in class com.cra.bnet.engine.Node: Notifies node listeners that this node's location was changed.
fireNameChanged(String, String) - Method in class com.cra.bnet.engine.Node: Notifies node listeners that this node's name was changed.
fireNodeAdded(Node) - Method in class com.cra.bnet.engine.BayesianNetwork: Notifies topology listeners and the belief updater that a node was added to this Bayesian network.
fireNodeRemoved(Node) - Method in class com.cra.bnet.engine.BayesianNetwork: Notifies topology listeners and the belief updater that a node was removed from this Bayesian network.
fireParentReordered(Node, int) - Method in class com.cra.bnet.engine.Node: Notifies node listeners and the belief updater that one of this node's parents was reordered.
fireStateAdded(String, int) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies node listeners and the belief updater that a new state was added to this node.
fireStateChanged() - Method in class com.cra.bnet.engine.BeliefUpdater: Fires a change event to all registered change listeners.
fireStateNameChanged(String, String, int) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies node listeners and the belief updater that the name of one of this node's states was changed.
fireStateRemoved(String, int) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies node listeners and the belief updater that a state was removed from this node.
fireStateReordered(String, int) - Method in class com.cra.bnet.engine.DiscreteNode: Notifies node listeners that one of this node's states was reordered.
fromDecimal(int) - Method in class com.cra.bnet.engine.VbnConverter
FullyObservableLearningAlgorithm - class com.cra.bnet.learn.FullyObservableLearningAlgorithm.: A learning algorithm for networks whose nodes are fully observed.
FullyObservableLearningAlgorithm() - Constructor for class com.cra.bnet.learn.FullyObservableLearningAlgorithm
Fuzzifier - class com.cra.bnet.engine.Fuzzifier.: Fuzzifies a value of a continuous variable to soft evidence for a discrete variable.
Fuzzifier(double[]) - Constructor for class com.cra.bnet.engine.Fuzzifier: Creates a new Fuzzifier using the specified centers.

G

generateCases(BayesianNetwork, Collection, int, Writer) - Static method in class com.cra.bnet.engine.BayesianNetworks: Generates data from the specified Bayesian network for the specified nodes and writes it to the specified writer.
GeneratedEngineBase - class com.cra.bnet.engine.GeneratedEngineBase.: Base class for generated inference engines.
GeneratedEngineBase() - Constructor for class com.cra.bnet.engine.GeneratedEngineBase
get(int) - Method in class com.cra.bnet.engine.Potential: Returns the value of this potential indexed by the specified DECIMAL index.
get(int[]) - Method in class com.cra.bnet.engine.Potential: Returns the value of this potential indexed by the specified index.
get(int, int[]) - Method in class com.cra.bnet.engine.Cpt: Returns the conditional probability that this cpt's node being is the specified state, given that its parents are in the specified states.
getAlgorithm() - Method in class com.cra.bnet.learn.EmEtaEvent: Returns the algorithm that fired this event.
getAllFormats() - Method in class com.cra.bnet.io.BnetFormatFactory: Returns an unmodifiable list of all registered formats.
getBases() - Method in class com.cra.bnet.engine.VbnConverter
getBayesianNetwork() - Method in class com.cra.bnet.engine.Node: Returns the Bayesian network that this node belongs to.
getBayesianNetwork() - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Returns this inference engine's Bayesian network.
getBayesianNetwork() - Method in class com.cra.bnet.engine.EvidenceEvent: Returns the Bayesian network that evidence was posted to or retracted from.
getBayesianNetwork() - Method in class com.cra.bnet.engine.BeliefUpdater: Returns the Bayesian network that this belief updater controls.
getBelief(String) - Method in class com.cra.bnet.engine.DiscreteNode: Returns the belief that this discrete node is in the specified state.
getBelief(String) - Method in class com.cra.bnet.engine.BeliefEvent: Returns the new belief for the specified state.
getBeliefCondition() - Method in class com.cra.bnet.engine.BeliefAlert: Returns this alert's condition.
getBeliefs() - Method in class com.cra.bnet.engine.DiscreteNode: Returns all of this discrete node's updated beliefs.
getBeliefs() - Method in class com.cra.bnet.engine.BeliefEvent: Returns the new beliefs.
getBeliefs(DiscreteNode) - Method in class com.cra.bnet.engine.ScgInferenceEngine
getBeliefs(DiscreteNode) - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Returns the current beliefs for the specified variable.
getBeliefs(DiscreteNode) - Method in interface com.cra.bnet.engine.InferenceEngine: Returns the current beliefs for the specified variable.
getBeliefs(DiscreteNode) - Method in class com.cra.bnet.engine.AmgInferenceEngine
getBeliefs(DiscreteNode) - Method in class com.cra.bnet.engine.AddMultiplyGraph: Returns the beliefs for the specified variable in the Bayesian network.
getBeliefs(int) - Method in interface com.cra.bnet.engine.LightweightBayesianNetwork
getBeliefs(int) - Method in class com.cra.bnet.engine.GeneratedEngineBase
getBeliefUpdater() - Method in class com.cra.bnet.engine.BayesianNetwork: Returns this Bayesian network's belief updater.
getBeliefUpdateSettings() - Method in class com.cra.bnet.engine.BeliefUpdater: Returns this belief updater's belief update settings.
getBfsIterator() - Method in class com.cra.bnet.engine.AddMultiplyGraph: Returns an iterator over the nodes in this AMG in breadth-first order, starting at the root node.
getBoundaries() - Method in class com.cra.bnet.engine.Discretizer: Returns the boundaries that this discretizer uses.
getBuffer() - Method in class com.cra.bnet.io.BufferedRegExpReader: Returns the buffer used to store characters read from the underlying reader.
getCaseCount() - Method in class com.cra.bnet.learn.SimpleDataSet: Returns the number of cases in this data set.
getCaseCount() - Method in interface com.cra.bnet.learn.DataSet: Returns the number of cases in this data set.
getCaseCount() - Method in class com.cra.bnet.learn.ComplexDataSet: Returns the number of cases in this data set.
getCases() - Method in class com.cra.bnet.learn.SimpleDataSet: Returns an iterator over the cases in this data set.
getCases() - Method in interface com.cra.bnet.learn.DataSet: Returns an iterator over the cases in this data set.
getCases() - Method in class com.cra.bnet.learn.ComplexDataSet: Returns an iterator over the cases in this data set.
getCenters() - Method in class com.cra.bnet.engine.Fuzzifier: Returns the centers that this fuzzifier uses.
getChildren() - Method in interface com.cra.bnet.engine.AmgNode: Returns a list of this node's children.
getChildren() - Method in class com.cra.bnet.engine.AbstractNode
getCliquePotential(Set) - Method in class com.cra.bnet.engine.HuginInferenceEngine
getCluster() - Method in class com.cra.bnet.engine.MultiplyNode: Returns this node's cluster.
getClusterIndex() - Method in class com.cra.bnet.engine.MultiplyNode: Returns this node's cluster index.
getComparisonOperator() - Method in class com.cra.bnet.engine.ThresholdBeliefCondition: Returns this condition's comparison operator.
getConditionalProbability(int, int) - Method in interface com.cra.bnet.engine.LightweightBayesianNetwork
getConditionalProbability(int, int) - Method in class com.cra.bnet.engine.GeneratedEngineBase
getCpd() - Method in class com.cra.bnet.engine.Node: Returns this node's conditional probability distribution.
getCpt() - Method in class com.cra.bnet.engine.DiscreteNode: Returns this node's conditional probability table.
getCptEntryNode(DiscreteNode, int) - Method in class com.cra.bnet.engine.AddMultiplyGraph
getCurrentVersion() - Method in class com.cra.bnet.io.XbnFormat: Returns the current version number.
getDebugOutput() - Static method in class com.cra.bnet.debug.DebugUtils
getDelta() - Method in class com.cra.bnet.learn.EmEtaEvent: Returns the current value of delta.
getDerivative() - Method in interface com.cra.bnet.engine.AmgNode: Returns this node's derivative.
getDerivative() - Method in class com.cra.bnet.engine.AbstractNode
getDerivativeName() - Method in class com.cra.bnet.engine.MultiplyNode
getDerivativeName() - Method in class com.cra.bnet.engine.EvidenceNode
getDerivativeName() - Method in interface com.cra.bnet.engine.AmgNode: Returns this node's derivative name.
getDerivativeName() - Method in class com.cra.bnet.engine.AddNode
getDerivativeName() - Method in class com.cra.bnet.engine.AbstractNode
getDescription() - Method in class com.cra.bnet.engine.Node: Returns this node's description.
getDescription() - Method in class com.cra.bnet.engine.BayesianNetwork: Returns this Bayesian network's description.
getDescription() - Method in class com.cra.bnet.io.XbnFormat: Returns a short description of the XBN format.
getDescription() - Method in class com.cra.bnet.io.NeticaFormat: Returns a short description of the Netica format.
getDescription() - Method in class com.cra.bnet.io.HuginFormat: Returns a short description of the Hugin format.
getDescription() - Method in interface com.cra.bnet.io.BnetFormat: Returns a short description of the format that this BnetFormat supports.
getDiscreteNode(String) - Method in class com.cra.bnet.engine.BayesianNetwork: Returns the discrete node in this Bayesian network that has the specified name.
getDocument(BayesianNetwork) - Method in class com.cra.bnet.io.XbnFormat: Returns a DOM document that contains the specified Bayesian network in XBN format.
getEdge() - Method in class com.cra.bnet.engine.TopologyEvent: Returns the edge that was added to or removed from the Bayesian network.
getError() - Method in interface com.cra.bnet.io.BnetFormat: Returns a description of the last error that occurred while reading or writing a Bayesian network.
getError() - Method in class com.cra.bnet.io.AbstractBnetFormat: Returns a description of the last error that occurred while reading or writing a Bayesian network.
getEvidence() - Method in class com.cra.bnet.engine.EvidenceNode: Returns this node's evidence.
getEvidence() - Method in class com.cra.bnet.engine.EvidenceEvent: Returns the evidence posted to or retracted from the node.
getEvidence() - Method in class com.cra.bnet.engine.DiscreteNode: Returns the evidence posted to this discrete node.
getEvidence() - Method in interface com.cra.bnet.learn.Observation: Returns the evidence which represents this observation.
getEvidence(DiscreteNode) - Method in class com.cra.bnet.engine.ScgInferenceEngine
getEvidence(DiscreteNode) - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Returns the current evidence associated with the specified variable.
getEvidence(DiscreteNode) - Method in interface com.cra.bnet.engine.InferenceEngine: Returns the current evidence associated with the specified variable.
getEvidence(DiscreteNode) - Method in class com.cra.bnet.engine.AmgInferenceEngine
getEvidence(DiscreteNode) - Method in class com.cra.bnet.engine.AddMultiplyGraph: Returns the evidence for the specified variable in the Bayesian network.
getEvidence(DiscreteNode, String) - Static method in class com.cra.bnet.engine.BayesianNetworks: Returns the current evidence for the specified state of the specified node.
getEvidence(double) - Method in class com.cra.bnet.engine.Fuzzifier: Fuzzifies the specified value and creates soft evidence that can be posted to a discrete node.
getEvidence(double) - Method in class com.cra.bnet.engine.Discretizer: Discretizes the specified value and creates evidence that can be posted to a discrete node.
getEvidence(int) - Method in interface com.cra.bnet.engine.LightweightBayesianNetwork
getEvidence(int) - Method in class com.cra.bnet.engine.GeneratedEngineBase
getEvidence(String) - Method in class com.cra.bnet.engine.DiscreteNode: Returns the evidence posted to the specified state of this discrete node.
getEvidenceNode(DiscreteNode, int) - Method in class com.cra.bnet.engine.AddMultiplyGraph
getExtension() - Method in class com.cra.bnet.io.XbnFormat: Returns the XBN file extension, ie the string "xbn".
getExtension() - Method in class com.cra.bnet.io.NeticaFormat: Returns the Netica file extension, ie the string "dne".
getExtension() - Method in class com.cra.bnet.io.HuginFormat: Returns the Hugin file extension, ie the string "net".
getExtension() - Method in interface com.cra.bnet.io.BnetFormat: Returns the file extension that this BnetFormat supports.
getHardEvidence(DiscreteNode, String) - Static method in class com.cra.bnet.engine.BayesianNetworks: Returns an array representing hard evidence for the specified state of the specified node.
getIndex() - Method in class com.cra.bnet.engine.StateEvent: Returns the index of the state.
getIndex() - Method in class com.cra.bnet.engine.NodeEvent: Returns the index of parent.
getIndex(DiscreteNode) - Method in class com.cra.bnet.engine.AddMultiplyGraph
getIndex(double) - Method in class com.cra.bnet.engine.Discretizer: Returns the index of the discrete state that the specified value is discretized to.
getIndices() - Method in class com.cra.bnet.engine.ParentIndices: Returns the array of parent indices.
getInferenceEngine() - Method in class com.cra.bnet.engine.BayesianNetwork: Returns the inference engine being used by this Bayesian network.
getInstance() - Static method in class com.cra.bnet.error.ErrorNotifier: Returns the single instance of this class.
getInstance() - Static method in class com.cra.bnet.io.BnetFormatFactory: Returns the single instance of this factory.
getInstantiationIndex() - Method in class com.cra.bnet.engine.MultiplyNode: Returns this node's instantiation index.
getInstantiationIndex() - Method in class com.cra.bnet.engine.EvidenceNode: Returns this node's instantiation index.
getInstantiationIndex() - Method in class com.cra.bnet.engine.CptEntryNode: Returns this node's instantiation index.
getInstantiationIndex() - Method in class com.cra.bnet.engine.AddNode: Returns this node's instantiation index.
getIterationNumber() - Method in class com.cra.bnet.learn.EmEtaEvent: Returns the current iteration number.
getJunctionTree() - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Returns this inference engine's current junction tree.
getLastBelief(String) - Method in class com.cra.bnet.engine.DiscreteNode: Returns this discrete node's last belief for the specified state - the one most recently sent to all belief listeners registered with this node.
getLastBeliefs() - Method in class com.cra.bnet.engine.DiscreteNode: Returns this discrete node's last beliefs, those that were most recently sent to all belief listeners registered with this node.
getLearningRate() - Method in class com.cra.bnet.learn.EmEtaParameters: Returns the learning rate (also known as eta).
getLocation() - Method in class com.cra.bnet.engine.Node: Returns this node's location.
getMapping(List, List) - Method in class com.cra.bnet.engine.PotentialMappings: Returns the mapping from a potential over the first list of nodes to a potential over the second list of nodes.
getMappings() - Method in class com.cra.bnet.engine.Potential: Returns the mappings for this potential.
getMaxDecimal() - Method in class com.cra.bnet.engine.VbnConverter: This returns the largest decimal number expressible in this format, NOT the total number of expressible values (which of course includes 0).
getMaximumIterations() - Method in class com.cra.bnet.learn.EmEtaParameters: Returns the maximum number of iterations.
getMinimumDelta() - Method in class com.cra.bnet.learn.EmEtaParameters: Returns the minimum value for delta.
getMissingDataString() - Method in class com.cra.bnet.learn.SimpleDataSet: Retuns the string that represents a missing value in the data file.
getMutualInformation(BayesianNetwork, DiscreteNode) - Static method in class com.cra.bnet.engine.DecisionAnalysisTools: Returns an unmodifiable map containing the mutual information between the specified query variable and every variable in the specified Bayesian network (including the query variable itself).
getMutualInformation(BayesianNetwork, DiscreteNode, double) - Static method in class com.cra.bnet.engine.DecisionAnalysisTools: Returns an unmodifiable map containing the mutual information between the specified query variable and every variable in the specified Bayesian network (including the query variable itself).
getName() - Method in class com.cra.bnet.engine.Node: Returns this node's name.
getName() - Method in class com.cra.bnet.engine.BayesianNetwork: Returns this Bayesian network's name.
getName() - Method in interface com.cra.bnet.engine.AmgNode: Returns this node's name.
getName() - Method in class com.cra.bnet.engine.AbstractNode
getName() - Method in class com.cra.bnet.error.DuplicateNodeError: Returns the name of the node that could not be added to the Bayesian network.
getNetwork() - Method in class com.cra.bnet.engine.TopologyEvent: Returns the Bayesian network that this event occured upon.
getNetwork() - Method in class com.cra.bnet.engine.StructuralModificationSupport: Returns the Bayesian network this listener is observing for structural modifications.
getNetwork() - Method in class com.cra.bnet.error.BnetError
getNewEvidence() - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Returns the evidence that has not been multiplied into the junction tree potentials yet.
getNewLocation() - Method in class com.cra.bnet.engine.NodeEvent: Returns the new location.
getNewName() - Method in class com.cra.bnet.engine.StateEvent: Returns the new state name.
getNewName() - Method in class com.cra.bnet.engine.NodeEvent: Returns the new node name.
getNewQuotients() - Method in class com.cra.bnet.engine.JunctionTreeInferenceEngine: Returns the evidence quotients that have not been multiplied into the junction tree potentials yet.
getNewValue() - Method in class com.cra.bnet.engine.CptEvent: Returns the new cpt entry.
getNode() - Method in class com.cra.bnet.engine.TopologyEvent: Returns the node that added to or removed from the Bayesian network.
getNode() - Method in class com.cra.bnet.engine.ThresholdBeliefCondition
getNode() - Method in class com.cra.bnet.engine.StateEvent: Returns the node this event occurred on.
getNode() - Method in class com.cra.bnet.engine.NodeEvent: Returns the node this event occurred on.
getNode() - Method in class com.cra.bnet.engine.EvidenceNode
getNode() - Method in class com.cra.bnet.engine.EvidenceEvent: Returns the node that evidence was posted to or retracted from.
getNode() - Method in class com.cra.bnet.engine.CptEvent: Returns the node whose cpt changed.
getNode() - Method in class com.cra.bnet.engine.CptEntryNode
getNode() - Method in class com.cra.bnet.engine.Cpt: Returns this cpt's node.
getNode() - Method in class com.cra.bnet.engine.BeliefEvent: Returns the node whose beliefs changed.