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IllegalOperationException - Exception in com.bayesia.api
The class IllegalOperationException is used when an illegal operation is performed for example on a not existent node.
IllegalOperationException() - Constructor for exception com.bayesia.api.IllegalOperationException
Default constructor.
IllegalOperationException(String) - Constructor for exception com.bayesia.api.IllegalOperationException
Create a new IllegalOperationException with the specified message.
IllegalOperationException(Throwable) - Constructor for exception com.bayesia.api.IllegalOperationException
Create a new IllegalOperationException generated by the specified cause.
IllegalOperationException(String, Throwable) - Constructor for exception com.bayesia.api.IllegalOperationException
Create a new IllegalOperationException with the specified message and generated by the specified cause.
increaseTime() - Method in class com.bayesia.api.APIInference
Performs a step of temporal simulation : from APIInference.getCurrentTime() to APIInference.getCurrentTime()+1.
isAllArcsDeleted() - Method in class com.bayesia.api.learning.settings.EQSettings
 
isAllArcsDeleted() - Method in class com.bayesia.api.learning.settings.GreedySettings
 
isAllArcsDeleted() - Method in class com.bayesia.api.learning.settings.TabooSettings
 
isBiVariate() - Method in enum com.bayesia.api.APIUtils.DISCRETIZATION
 
isBoolean(String) - Method in class com.bayesia.api.APIInference
Tests if the specified node is boolean, i.e. its values are equivalent to true and false.
isBoolean(String) - Method in class com.bayesia.api.APIModeling
Tests if the specified node is boolean, i.e. its values are equivalent to true and false.
isBoolean() - Method in class com.bayesia.api.FunctionValue
Test if the value is a Boolean.
isBooleanConstant(String) - Method in class com.bayesia.api.APIModeling
Tests if the specified constant is a BOOLEAN constant.
isChildOf(String, String) - Method in class com.bayesia.api.APIInference
Tests if there is an arc from nodeName2 to nodeName1
isChildOf(String, String) - Method in class com.bayesia.api.APIModeling
Tests if there is an arc from nodeName2 to nodeName1
isConstraint(String) - Method in class com.bayesia.api.APIInference
Tests if the node is a constraint node.
isConstraint(String) - Method in class com.bayesia.api.APIModeling
Tests if the node is a constraint node.
isContinuousVariable(int) - Method in interface com.bayesia.api.NetworkDescriptor
Tests if the variable at the given index is continuous or not
isDecision(String) - Method in class com.bayesia.api.APIInference
Tests if the node is a decision node.
isDecision(String) - Method in class com.bayesia.api.APIModeling
Tests if the node is a decision node.
isFormulaProbabilist(String) - Method in class com.bayesia.api.APIModeling
Test if the formula of the specified node is probabilist or not.
isFormulaUseFixedSeed(String) - Method in class com.bayesia.api.APIModeling
Returns true if the formula use a fixed seed, false otherwise.
isFunction(String) - Method in class com.bayesia.api.APIInference
Tests if the node is a function node.
isFunction(String) - Method in class com.bayesia.api.APIModeling
Tests if the node is a function node.
isGroupingUsed() - Method in class com.bayesia.api.format.NumberFormatter
Tests if the grouping (by 3) is used
isHardObserved(String) - Method in class com.bayesia.api.APIInference
Returns true if the node has hard evidence set, i.e. a state if observed.
isIntConstant(String) - Method in class com.bayesia.api.APIModeling
Tests if the specified constant is an INTEGER constant.
isInteger(String) - Method in class com.bayesia.api.APIInference
Tests if all the values of the specified node are integers.
isInteger(String) - Method in class com.bayesia.api.APIModeling
Tests if all the values of the specified node are integers.
isInterval(String) - Method in class com.bayesia.api.APIInference
Tests if the node is described by a list of consecutives intervals.
isInterval(String) - Method in class com.bayesia.api.APIModeling
Tests if the node is described by a list of consecutives intervals.
isLikelihoodObserved(String) - Method in class com.bayesia.api.APIInference
Returns true if the node is observed with likelihoods.
isLogUsed() - Method in class com.bayesia.api.discretization.settings.DerivativeSettings
 
isLogUsed() - Method in class com.bayesia.api.discretization.settings.EqualDistanceSettings
 
isLogUsed() - Method in class com.bayesia.api.discretization.settings.EqualFrequencySettings
 
isLogUsed() - Method in class com.bayesia.api.discretization.settings.KMeansSettings
 
isLogUsed() - Method in class com.bayesia.api.discretization.settings.NormalizedEqualDistanceSettings
 
isLogUsed() - Method in class com.bayesia.api.discretization.settings.R2GenOptSettings
 
isMarkovBlanketRestrictionBlocked() - Method in class com.bayesia.api.learning.settings.SupervisedLearningSettings
 
isMarkovBlanketRestrictionEnabled() - Method in class com.bayesia.api.learning.settings.SupervisedLearningSettings
 
isMarkovBlanketRestrictionFixedSeed() - Method in class com.bayesia.api.learning.settings.SupervisedLearningSettings
 
isMarkovBlanketRestrictionUsed() - Method in class com.bayesia.api.learning.settings.SupervisedLearningSettings
 
isMeanObserved(String) - Method in class com.bayesia.api.APIInference
Returns true if the node is observed with target mean.
isMostProbableExplanationUsed() - Method in class com.bayesia.api.APIInference
Returns true if most probable explanation is used instead of standard inference mode.
isNodeExcluded(String) - Method in class com.bayesia.api.APIModeling
Returns the exclusion property of the node.
isNumber() - Method in class com.bayesia.api.FunctionValue
Test if the value is an instance of Number.
isObservationValidityEnabled() - Method in class com.bayesia.api.APIInference
Returns the state of the observation validity checking.
isObserved(String) - Method in class com.bayesia.api.APIInference
Tests if the specified node is observed.
isObservedMeanBinary(String) - Method in class com.bayesia.api.APIInference
Returns true if the distribution used to compute the mean is binary, false if the distribution is generated by MinXEnt.
isOutgoingArcFixed() - Method in class com.bayesia.api.learning.settings.MarkovBlanketSettings
 
isParentOf(String, String) - Method in class com.bayesia.api.APIInference
Tests if there is an arc from nodeName1 to nodeName2
isParentOf(String, String) - Method in class com.bayesia.api.APIModeling
Tests if there is an arc from nodeName1 to nodeName2
isPercent() - Method in class com.bayesia.api.format.NumberFormatter
Tests if the percent format is used
isProbabilityObserved(String) - Method in class com.bayesia.api.APIInference
Returns true if the node is observed with target probabilities.
isReal(String) - Method in class com.bayesia.api.APIInference
Tests if all the values of the specified node are reals.
isReal(String) - Method in class com.bayesia.api.APIModeling
Tests if all the values of the specified node are reals.
isRealConstant(String) - Method in class com.bayesia.api.APIModeling
Tests if the specified constant is a REAL constant.
isRealString() - Method in class com.bayesia.api.FunctionValue
Test if the value is an instance of String.
isScientificNotationUsed() - Method in class com.bayesia.api.format.NumberFormatter
Tests if the scientific notation is used
isStandard(String) - Method in class com.bayesia.api.APIInference
Tests if the node is a standard chance node (neither constraint nor decision nor utility nor function).
isString() - Method in class com.bayesia.api.FunctionValue
Test if the value can be represented by a String.
isStringConstant(String) - Method in class com.bayesia.api.APIModeling
Tests if the specified constant is a STRING constant.
isSupervised() - Method in enum com.bayesia.api.APIUtils.LEARNING_ALGORITHM
 
isSupervised() - Method in class com.bayesia.api.learning.settings.EQSettings
 
isSupervised() - Method in class com.bayesia.api.learning.settings.GreedySettings
 
isSupervised() - Method in interface com.bayesia.api.learning.settings.LearningSettings
Indicate if the current learning algorithm is supervised (i.e. it needs a target) or not.
isSupervised() - Method in class com.bayesia.api.learning.settings.MaximumSpanningTreeSettings
 
isSupervised() - Method in class com.bayesia.api.learning.settings.ParameterEstimationSettings
 
isSupervised() - Method in class com.bayesia.api.learning.settings.SupervisedLearningSettings
 
isSupervised() - Method in class com.bayesia.api.learning.settings.TabooOrderSettings
 
isSupervised() - Method in class com.bayesia.api.learning.settings.TabooSettings
 
isTemporal() - Method in class com.bayesia.api.APIInference
Tests if the network is temporal.
isTemporal() - Method in class com.bayesia.api.APIModeling
Tests if the network is temporal.
isTimeUsed() - Method in class com.bayesia.api.APIModeling
Returns true if the time is used in the network.
isTrailingZerosTrimmed() - Method in class com.bayesia.api.format.NumberFormatter
Tests if the not useful decimal zeros are trimmed
isTreeCapable() - Method in enum com.bayesia.api.APIUtils.LEARNING_ALGORITHM
 
isUnfixedArcsDeleted() - Method in class com.bayesia.api.learning.settings.EQSettings
 
isUnfixedArcsDeleted() - Method in class com.bayesia.api.learning.settings.GreedySettings
 
isUnfixedArcsDeleted() - Method in class com.bayesia.api.learning.settings.TabooSettings
 
isUniVariate() - Method in enum com.bayesia.api.APIUtils.DISCRETIZATION
 
isUnsupervised() - Method in enum com.bayesia.api.APIUtils.LEARNING_ALGORITHM
 
isUseMaxChildNumber() - Method in class com.bayesia.api.learning.settings.TabooSettings
 
isUseMaxParentNumber() - Method in class com.bayesia.api.learning.settings.TabooSettings
 
isUtility(String) - Method in class com.bayesia.api.APIInference
Tests if the node is a utility node.
isUtility(String) - Method in class com.bayesia.api.APIModeling
Tests if the node is a utility node.
isValid() - Method in class com.bayesia.api.learning.settings.EQSettings
 
isValid() - Method in class com.bayesia.api.learning.settings.GreedySettings
 
isValid() - Method in interface com.bayesia.api.learning.settings.LearningSettings
Test if the current settings are valid.
isValid() - Method in class com.bayesia.api.learning.settings.MaximumSpanningTreeSettings
 
isValid() - Method in class com.bayesia.api.learning.settings.ParameterEstimationSettings
 
isValid() - Method in class com.bayesia.api.learning.settings.SupervisedLearningSettings
 
isValid() - Method in class com.bayesia.api.learning.settings.TabooOrderSettings
 
isValid() - Method in class com.bayesia.api.learning.settings.TabooSettings
 
isVerbose() - Method in class com.bayesia.api.learning.settings.AbstractLearningSettings
 
isVerbose() - Method in interface com.bayesia.api.learning.settings.LearningSettings
Tests if the learning algorithm will output information on the standard output stream System.out during learning.
isZeroIsolated() - Method in class com.bayesia.api.discretization.settings.KMeansSettings
 
isZeroIsolated() - Method in class com.bayesia.api.discretization.settings.R2GenOptSettings
 
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