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