Tutorials and notebooks
gum.config
pyAgrum.causal.counterfactual
toDot()
pyagrum.ini
config
1-Fundamental components
Arc
Edge
DiGraph
DAG
UndiGraph
CliqueGraph
MixedGraph
MixedGraph.addArc()
MixedGraph.addEdge()
MixedGraph.addNode()
MixedGraph.addNodeWithId()
MixedGraph.addNodes()
MixedGraph.adjacents()
MixedGraph.arcs()
MixedGraph.boundary()
MixedGraph.chainComponent()
MixedGraph.children()
MixedGraph.clear()
MixedGraph.connectedComponents()
MixedGraph.edges()
MixedGraph.empty()
MixedGraph.emptyArcs()
MixedGraph.emptyEdges()
MixedGraph.eraseArc()
MixedGraph.eraseChildren()
MixedGraph.eraseEdge()
MixedGraph.eraseNeighbours()
MixedGraph.eraseNode()
MixedGraph.eraseParents()
MixedGraph.existsArc()
MixedGraph.existsEdge()
MixedGraph.existsNode()
MixedGraph.hasDirectedPath()
MixedGraph.hasMixedOrientedPath()
MixedGraph.hasUndirectedCycle()
MixedGraph.mixedOrientedPath()
MixedGraph.mixedUnorientedPath()
MixedGraph.neighbours()
MixedGraph.nodes()
MixedGraph.nodes2ConnectedComponent()
MixedGraph.parents()
MixedGraph.partialUndiGraph()
MixedGraph.size()
MixedGraph.sizeArcs()
MixedGraph.sizeEdges()
MixedGraph.toDot()
MixedGraph.topologicalOrder()
PDAG
PDAG.addArc()
PDAG.addEdge()
PDAG.addNode()
PDAG.addNodeWithId()
PDAG.addNodes()
PDAG.adjacents()
PDAG.arcs()
PDAG.boundary()
PDAG.cSeparation()
PDAG.chainComponent()
PDAG.children()
PDAG.clear()
PDAG.connectedComponents()
PDAG.edges()
PDAG.empty()
PDAG.emptyArcs()
PDAG.emptyEdges()
PDAG.eraseArc()
PDAG.eraseChildren()
PDAG.eraseEdge()
PDAG.eraseNeighbours()
PDAG.eraseNode()
PDAG.eraseParents()
PDAG.existsArc()
PDAG.existsEdge()
PDAG.existsNode()
PDAG.hasDirectedPath()
PDAG.hasMixedOrientedPath()
PDAG.hasMixedReallyOrientedPath()
PDAG.hasUndirectedCycle()
PDAG.mixedOrientedPath()
PDAG.mixedUnorientedPath()
PDAG.moralGraph()
PDAG.moralizedAncestralGraph()
PDAG.neighbours()
PDAG.nodes()
PDAG.nodes2ConnectedComponent()
PDAG.parents()
PDAG.partialUndiGraph()
PDAG.size()
PDAG.sizeArcs()
PDAG.sizeEdges()
PDAG.toDot()
PDAG.topologicalOrder()
DiscreteVariable
DiscreteVariable.description()
DiscreteVariable.domain()
DiscreteVariable.domainSize()
DiscreteVariable.empty()
DiscreteVariable.index()
DiscreteVariable.label()
DiscreteVariable.labels()
DiscreteVariable.name()
DiscreteVariable.numerical()
DiscreteVariable.setDescription()
DiscreteVariable.setName()
DiscreteVariable.stype()
DiscreteVariable.toDiscretizedVar()
DiscreteVariable.toIntegerVar()
DiscreteVariable.toLabelizedVar()
DiscreteVariable.toNumericalDiscreteVar()
DiscreteVariable.toRangeVar()
DiscreteVariable.toStringWithDescription()
DiscreteVariable.varType()
LabelizedVariable
DiscretizedVariable
IntegerVariable
RangeVariable
NumericalDiscreteVariable
Instantiation
Instantiation.add()
Instantiation.addVarsFromModel()
Instantiation.chgVal()
Instantiation.clear()
Instantiation.contains()
Instantiation.dec()
Instantiation.decIn()
Instantiation.decNotVar()
Instantiation.decOut()
Instantiation.decVar()
Instantiation.domainSize()
Instantiation.empty()
Instantiation.end()
Instantiation.erase()
Instantiation.fromdict()
Instantiation.hamming()
Instantiation.inOverflow()
Instantiation.inc()
Instantiation.incIn()
Instantiation.incNotVar()
Instantiation.incOut()
Instantiation.incVar()
Instantiation.isMutable()
Instantiation.nbrDim()
Instantiation.pos()
Instantiation.rend()
Instantiation.reorder()
Instantiation.setFirst()
Instantiation.setFirstIn()
Instantiation.setFirstNotVar()
Instantiation.setFirstOut()
Instantiation.setFirstVar()
Instantiation.setLast()
Instantiation.setLastIn()
Instantiation.setLastNotVar()
Instantiation.setLastOut()
Instantiation.setLastVar()
Instantiation.setMutable()
Instantiation.setVals()
Instantiation.todict()
Instantiation.unsetEnd()
Instantiation.unsetOverflow()
Instantiation.val()
Instantiation.variable()
Instantiation.variablesSequence()
Potential
Potential.KL()
Potential.abs()
Potential.add()
Potential.argmax()
Potential.argmin()
Potential.contains()
Potential.domainSize()
Potential.draw()
Potential.empty()
Potential.entropy()
Potential.extract()
Potential.fillWith()
Potential.fillWithFunction()
Potential.findAll()
Potential.get()
Potential.inverse()
Potential.isNonZeroMap()
Potential.log2()
Potential.loopIn()
Potential.margMaxIn()
Potential.margMaxOut()
Potential.margMinIn()
Potential.margMinOut()
Potential.margProdIn()
Potential.margProdOut()
Potential.margSumIn()
Potential.margSumOut()
Potential.max()
Potential.maxNonOne()
Potential.min()
Potential.minNonZero()
Potential.names
Potential.nbrDim()
Potential.newFactory()
Potential.new_abs()
Potential.new_log2()
Potential.new_sq()
Potential.noising()
Potential.normalize()
Potential.normalizeAsCPT()
Potential.pos()
Potential.product()
Potential.putFirst()
Potential.random()
Potential.randomCPT()
Potential.randomDistribution()
Potential.remove()
Potential.reorganize()
Potential.scale()
Potential.set()
Potential.shape
Potential.sq()
Potential.sum()
Potential.thisown
Potential.toarray()
Potential.toclipboard()
Potential.tolatex()
Potential.tolist()
Potential.topandas()
Potential.translate()
Potential.var_dims
Potential.var_names
Potential.variable()
Potential.variablesSequence()
2-Graphical Models
BayesNet
BayesNet.add()
BayesNet.addAMPLITUDE()
BayesNet.addAND()
BayesNet.addArc()
BayesNet.addArcs()
BayesNet.addCOUNT()
BayesNet.addEXISTS()
BayesNet.addFORALL()
BayesNet.addLogit()
BayesNet.addMAX()
BayesNet.addMEDIAN()
BayesNet.addMIN()
BayesNet.addNoisyAND()
BayesNet.addNoisyOR()
BayesNet.addNoisyORCompound()
BayesNet.addNoisyORNet()
BayesNet.addOR()
BayesNet.addSUM()
BayesNet.addStructureListener()
BayesNet.addVariables()
BayesNet.addWeightedArc()
BayesNet.ancestors()
BayesNet.arcs()
BayesNet.beginTopologyTransformation()
BayesNet.changePotential()
BayesNet.changeVariableLabel()
BayesNet.changeVariableName()
BayesNet.check()
BayesNet.children()
BayesNet.clear()
BayesNet.completeInstantiation()
BayesNet.connectedComponents()
BayesNet.cpt()
BayesNet.dag()
BayesNet.descendants()
BayesNet.dim()
BayesNet.empty()
BayesNet.endTopologyTransformation()
BayesNet.erase()
BayesNet.eraseArc()
BayesNet.exists()
BayesNet.existsArc()
BayesNet.family()
BayesNet.fastPrototype()
BayesNet.generateCPT()
BayesNet.generateCPTs()
BayesNet.hasSameStructure()
BayesNet.idFromName()
BayesNet.ids()
BayesNet.isIndependent()
BayesNet.jointProbability()
BayesNet.loadBIF()
BayesNet.loadBIFXML()
BayesNet.loadDSL()
BayesNet.loadNET()
BayesNet.loadO3PRM()
BayesNet.loadUAI()
BayesNet.log10DomainSize()
BayesNet.log2JointProbability()
BayesNet.maxNonOneParam()
BayesNet.maxParam()
BayesNet.maxVarDomainSize()
BayesNet.minNonZeroParam()
BayesNet.minParam()
BayesNet.minimalCondSet()
BayesNet.moralGraph()
BayesNet.moralizedAncestralGraph()
BayesNet.names()
BayesNet.nodeId()
BayesNet.nodes()
BayesNet.nodeset()
BayesNet.parents()
BayesNet.reverseArc()
BayesNet.saveBIF()
BayesNet.saveBIFXML()
BayesNet.saveDSL()
BayesNet.saveNET()
BayesNet.saveO3PRM()
BayesNet.saveUAI()
BayesNet.size()
BayesNet.sizeArcs()
BayesNet.thisown
BayesNet.toDot()
BayesNet.topologicalOrder()
BayesNet.variable()
BayesNet.variableFromName()
BayesNet.variableNodeMap()
BNDatabaseGenerator
ExactBNdistance
GibbsBNdistance
JunctionTreeGenerator
EssentialGraph
MarkovBlanket
BayesNetFragment
LazyPropagation
ShaferShenoyInference
VariableElimination
LoopyBeliefPropagation
BNLearner
BNLearner.G2()
BNLearner.addForbiddenArc()
BNLearner.addMandatoryArc()
BNLearner.addPossibleEdge()
BNLearner.chi2()
BNLearner.correctedMutualInformation()
BNLearner.currentTime()
BNLearner.databaseWeight()
BNLearner.domainSize()
BNLearner.epsilon()
BNLearner.eraseForbiddenArc()
BNLearner.eraseMandatoryArc()
BNLearner.erasePossibleEdge()
BNLearner.fitParameters()
BNLearner.getNumberOfThreads()
BNLearner.hasMissingValues()
BNLearner.history()
BNLearner.idFromName()
BNLearner.isGumNumberOfThreadsOverriden()
BNLearner.latentVariables()
BNLearner.learnBN()
BNLearner.learnDAG()
BNLearner.learnEssentialGraph()
BNLearner.learnMixedStructure()
BNLearner.learnParameters()
BNLearner.logLikelihood()
BNLearner.maxIter()
BNLearner.maxTime()
BNLearner.messageApproximationScheme()
BNLearner.minEpsilonRate()
BNLearner.mutualInformation()
BNLearner.nameFromId()
BNLearner.names()
BNLearner.nbCols()
BNLearner.nbRows()
BNLearner.nbrIterations()
BNLearner.periodSize()
BNLearner.pseudoCount()
BNLearner.rawPseudoCount()
BNLearner.recordWeight()
BNLearner.score()
BNLearner.setDatabaseWeight()
BNLearner.setEpsilon()
BNLearner.setForbiddenArcs()
BNLearner.setInitialDAG()
BNLearner.setMandatoryArcs()
BNLearner.setMaxIndegree()
BNLearner.setMaxIter()
BNLearner.setMaxTime()
BNLearner.setMinEpsilonRate()
BNLearner.setNumberOfThreads()
BNLearner.setPeriodSize()
BNLearner.setPossibleEdges()
BNLearner.setPossibleSkeleton()
BNLearner.setRecordWeight()
BNLearner.setSliceOrder()
BNLearner.setVerbosity()
BNLearner.state()
BNLearner.use3off2()
BNLearner.useAprioriBDeu()
BNLearner.useAprioriDirichlet()
BNLearner.useAprioriSmoothing()
BNLearner.useBDeuPrior()
BNLearner.useDirichletPrior()
BNLearner.useEM()
BNLearner.useGreedyHillClimbing()
BNLearner.useK2()
BNLearner.useLocalSearchWithTabuList()
BNLearner.useMDLCorrection()
BNLearner.useMIIC()
BNLearner.useNMLCorrection()
BNLearner.useNoApriori()
BNLearner.useNoCorrection()
BNLearner.useNoPrior()
BNLearner.useScoreAIC()
BNLearner.useScoreBD()
BNLearner.useScoreBDeu()
BNLearner.useScoreBIC()
BNLearner.useScoreK2()
BNLearner.useScoreLog2Likelihood()
BNLearner.useSmoothingPrior()
BNLearner.verbosity()
InfluenceDiagram
InfluenceDiagram.add()
InfluenceDiagram.addArc()
InfluenceDiagram.addArcs()
InfluenceDiagram.addChanceNode()
InfluenceDiagram.addDecisionNode()
InfluenceDiagram.addStructureListener()
InfluenceDiagram.addUtilityNode()
InfluenceDiagram.addVariables()
InfluenceDiagram.ancestors()
InfluenceDiagram.arcs()
InfluenceDiagram.chanceNodeSize()
InfluenceDiagram.changeVariableName()
InfluenceDiagram.children()
InfluenceDiagram.clear()
InfluenceDiagram.completeInstantiation()
InfluenceDiagram.connectedComponents()
InfluenceDiagram.cpt()
InfluenceDiagram.dag()
InfluenceDiagram.decisionNodeSize()
InfluenceDiagram.decisionOrder()
InfluenceDiagram.decisionOrderExists()
InfluenceDiagram.descendants()
InfluenceDiagram.empty()
InfluenceDiagram.erase()
InfluenceDiagram.eraseArc()
InfluenceDiagram.exists()
InfluenceDiagram.existsArc()
InfluenceDiagram.existsPathBetween()
InfluenceDiagram.family()
InfluenceDiagram.fastPrototype()
InfluenceDiagram.getDecisionGraph()
InfluenceDiagram.hasSameStructure()
InfluenceDiagram.idFromName()
InfluenceDiagram.ids()
InfluenceDiagram.isChanceNode()
InfluenceDiagram.isDecisionNode()
InfluenceDiagram.isIndependent()
InfluenceDiagram.isUtilityNode()
InfluenceDiagram.loadBIFXML()
InfluenceDiagram.log10DomainSize()
InfluenceDiagram.moralGraph()
InfluenceDiagram.moralizedAncestralGraph()
InfluenceDiagram.names()
InfluenceDiagram.nodeId()
InfluenceDiagram.nodes()
InfluenceDiagram.nodeset()
InfluenceDiagram.parents()
InfluenceDiagram.saveBIFXML()
InfluenceDiagram.size()
InfluenceDiagram.sizeArcs()
InfluenceDiagram.thisown
InfluenceDiagram.toDot()
InfluenceDiagram.topologicalOrder()
InfluenceDiagram.utility()
InfluenceDiagram.utilityNodeSize()
InfluenceDiagram.variable()
InfluenceDiagram.variableFromName()
InfluenceDiagram.variableNodeMap()
ShaferShenoyLIMIDInference
ShaferShenoyLIMIDInference.MEU()
ShaferShenoyLIMIDInference.addEvidence()
ShaferShenoyLIMIDInference.addNoForgettingAssumption()
ShaferShenoyLIMIDInference.chgEvidence()
ShaferShenoyLIMIDInference.clear()
ShaferShenoyLIMIDInference.eraseAllEvidence()
ShaferShenoyLIMIDInference.eraseEvidence()
ShaferShenoyLIMIDInference.hardEvidenceNodes()
ShaferShenoyLIMIDInference.hasEvidence()
ShaferShenoyLIMIDInference.hasHardEvidence()
ShaferShenoyLIMIDInference.hasNoForgettingAssumption()
ShaferShenoyLIMIDInference.hasSoftEvidence()
ShaferShenoyLIMIDInference.influenceDiagram()
ShaferShenoyLIMIDInference.isSolvable()
ShaferShenoyLIMIDInference.junctionTree()
ShaferShenoyLIMIDInference.makeInference()
ShaferShenoyLIMIDInference.meanVar()
ShaferShenoyLIMIDInference.nbrEvidence()
ShaferShenoyLIMIDInference.nbrHardEvidence()
ShaferShenoyLIMIDInference.nbrSoftEvidence()
ShaferShenoyLIMIDInference.optimalDecision()
ShaferShenoyLIMIDInference.posterior()
ShaferShenoyLIMIDInference.posteriorUtility()
ShaferShenoyLIMIDInference.reducedGraph()
ShaferShenoyLIMIDInference.reducedLIMID()
ShaferShenoyLIMIDInference.reversePartialOrder()
ShaferShenoyLIMIDInference.setEvidence()
ShaferShenoyLIMIDInference.softEvidenceNodes()
ShaferShenoyLIMIDInference.updateEvidence()
CredalNet
CredalNet.NodeType_Credal
CredalNet.NodeType_Indic
CredalNet.NodeType_Precise
CredalNet.NodeType_Vacuous
CredalNet.addArc()
CredalNet.addVariable()
CredalNet.approximatedBinarization()
CredalNet.bnToCredal()
CredalNet.computeBinaryCPTMinMax()
CredalNet.credalNet_currentCpt()
CredalNet.credalNet_srcCpt()
CredalNet.currentNodeType()
CredalNet.current_bn()
CredalNet.domainSize()
CredalNet.epsilonMax()
CredalNet.epsilonMean()
CredalNet.epsilonMin()
CredalNet.fillConstraint()
CredalNet.fillConstraints()
CredalNet.get_binaryCPT_max()
CredalNet.get_binaryCPT_min()
CredalNet.hasComputedBinaryCPTMinMax()
CredalNet.idmLearning()
CredalNet.instantiation()
CredalNet.intervalToCredal()
CredalNet.intervalToCredalWithFiles()
CredalNet.isSeparatelySpecified()
CredalNet.lagrangeNormalization()
CredalNet.nodeType()
CredalNet.saveBNsMinMax()
CredalNet.setCPT()
CredalNet.setCPTs()
CredalNet.src_bn()
CNMonteCarloSampling
CNMonteCarloSampling.CN()
CNMonteCarloSampling.currentTime()
CNMonteCarloSampling.dynamicExpMax()
CNMonteCarloSampling.dynamicExpMin()
CNMonteCarloSampling.epsilon()
CNMonteCarloSampling.history()
CNMonteCarloSampling.insertEvidenceFile()
CNMonteCarloSampling.insertModalsFile()
CNMonteCarloSampling.makeInference()
CNMonteCarloSampling.marginalMax()
CNMonteCarloSampling.marginalMin()
CNMonteCarloSampling.maxIter()
CNMonteCarloSampling.maxTime()
CNMonteCarloSampling.messageApproximationScheme()
CNMonteCarloSampling.minEpsilonRate()
CNMonteCarloSampling.nbrIterations()
CNMonteCarloSampling.periodSize()
CNMonteCarloSampling.setEpsilon()
CNMonteCarloSampling.setMaxIter()
CNMonteCarloSampling.setMaxTime()
CNMonteCarloSampling.setMinEpsilonRate()
CNMonteCarloSampling.setPeriodSize()
CNMonteCarloSampling.setRepetitiveInd()
CNMonteCarloSampling.setVerbosity()
CNMonteCarloSampling.verbosity()
CNLoopyPropagation
CNLoopyPropagation.CN()
CNLoopyPropagation.InferenceType_nodeToNeighbours
CNLoopyPropagation.InferenceType_ordered
CNLoopyPropagation.InferenceType_randomOrder
CNLoopyPropagation.currentTime()
CNLoopyPropagation.dynamicExpMax()
CNLoopyPropagation.dynamicExpMin()
CNLoopyPropagation.epsilon()
CNLoopyPropagation.eraseAllEvidence()
CNLoopyPropagation.history()
CNLoopyPropagation.inferenceType()
CNLoopyPropagation.insertEvidenceFile()
CNLoopyPropagation.insertModalsFile()
CNLoopyPropagation.makeInference()
CNLoopyPropagation.marginalMax()
CNLoopyPropagation.marginalMin()
CNLoopyPropagation.maxIter()
CNLoopyPropagation.maxTime()
CNLoopyPropagation.messageApproximationScheme()
CNLoopyPropagation.minEpsilonRate()
CNLoopyPropagation.nbrIterations()
CNLoopyPropagation.periodSize()
CNLoopyPropagation.saveInference()
CNLoopyPropagation.setEpsilon()
CNLoopyPropagation.setMaxIter()
CNLoopyPropagation.setMaxTime()
CNLoopyPropagation.setMinEpsilonRate()
CNLoopyPropagation.setPeriodSize()
CNLoopyPropagation.setRepetitiveInd()
CNLoopyPropagation.setVerbosity()
CNLoopyPropagation.thisown
CNLoopyPropagation.verbosity()
MarkovNet
MarkovNet.add()
MarkovNet.addFactor()
MarkovNet.addStructureListener()
MarkovNet.addVariables()
MarkovNet.beginTopologyTransformation()
MarkovNet.changeVariableLabel()
MarkovNet.changeVariableName()
MarkovNet.clear()
MarkovNet.completeInstantiation()
MarkovNet.connectedComponents()
MarkovNet.dim()
MarkovNet.edges()
MarkovNet.empty()
MarkovNet.endTopologyTransformation()
MarkovNet.erase()
MarkovNet.eraseFactor()
MarkovNet.exists()
MarkovNet.existsEdge()
MarkovNet.factor()
MarkovNet.factors()
MarkovNet.fastPrototype()
MarkovNet.fromBN()
MarkovNet.generateFactor()
MarkovNet.generateFactors()
MarkovNet.graph()
MarkovNet.hasSameStructure()
MarkovNet.idFromName()
MarkovNet.ids()
MarkovNet.isIndependent()
MarkovNet.loadUAI()
MarkovNet.log10DomainSize()
MarkovNet.maxNonOneParam()
MarkovNet.maxParam()
MarkovNet.maxVarDomainSize()
MarkovNet.minNonZeroParam()
MarkovNet.minParam()
MarkovNet.minimalCondSet()
MarkovNet.names()
MarkovNet.neighbours()
MarkovNet.nodeId()
MarkovNet.nodes()
MarkovNet.nodeset()
MarkovNet.saveUAI()
MarkovNet.size()
MarkovNet.sizeEdges()
MarkovNet.smallestFactorFromNode()
MarkovNet.thisown
MarkovNet.toDot()
MarkovNet.toDotAsFactorGraph()
MarkovNet.variable()
MarkovNet.variableFromName()
MarkovNet.variableNodeMap()
ShaferShenoyMNInference
PRMexplorer
PRMexplorer.aggType
PRMexplorer.classAggregates()
PRMexplorer.classAttributes()
PRMexplorer.classDag()
PRMexplorer.classImplements()
PRMexplorer.classParameters()
PRMexplorer.classReferences()
PRMexplorer.classSlotChains()
PRMexplorer.classes()
PRMexplorer.cpf()
PRMexplorer.getDirectSubClass()
PRMexplorer.getDirectSubInterfaces()
PRMexplorer.getDirectSubTypes()
PRMexplorer.getImplementations()
PRMexplorer.getLabelMap()
PRMexplorer.getLabels()
PRMexplorer.getSuperClass()
PRMexplorer.getSuperInterface()
PRMexplorer.getSuperType()
PRMexplorer.getalltheSystems()
PRMexplorer.interAttributes()
PRMexplorer.interReferences()
PRMexplorer.interfaces()
PRMexplorer.isAttribute()
PRMexplorer.isClass()
PRMexplorer.isInterface()
PRMexplorer.isType()
PRMexplorer.load()
PRMexplorer.types()
3-Causality
4-scikit-learn-like BN Classifiers
5-pyAgrum.lib modules
6-Miscellaneous
about()
getPosterior()
generateSample()
generateCSV()
fastBN()
fastMN()
fastID()
availableBNExts()
loadBN()
saveBN()
availableMNExts()
loadMN()
saveMN()
availableIDExts()
loadID()
saveID()
initRandom()
randomProba()
randomDistribution()
isOMP()
setNumberOfThreads()
getNumberOfLogicalProcessors()
getNumberOfThreads()
GumException
GumException.args
GumException.errorCallStack()
GumException.errorContent()
GumException.errorType()
GumException.what()
GumException.with_traceback()
DefaultInLabel
DefaultInLabel.args
DefaultInLabel.thisown
DuplicateElement
DuplicateElement.args
DuplicateElement.thisown
DuplicateElement.what()
DuplicateLabel
DuplicateLabel.args
DuplicateLabel.thisown
DuplicateLabel.what()
FatalError
FatalError.args
FatalError.thisown
FatalError.what()
FormatNotFound
FormatNotFound.args
FormatNotFound.thisown
FormatNotFound.what()
GraphError
GraphError.args
GraphError.thisown
GraphError.what()
IOError
IOError.args
IOError.thisown
IOError.what()
InvalidArc
InvalidArc.args
InvalidArc.thisown
InvalidArc.what()
InvalidArgument
InvalidArgument.args
InvalidArgument.thisown
InvalidArgument.what()
InvalidArgumentsNumber
InvalidArgumentsNumber.args
InvalidArgumentsNumber.thisown
InvalidArgumentsNumber.what()
InvalidDirectedCycle
InvalidDirectedCycle.args
InvalidDirectedCycle.thisown
InvalidDirectedCycle.what()
InvalidEdge
InvalidEdge.args
InvalidEdge.thisown
InvalidEdge.what()
InvalidNode
InvalidNode.args
InvalidNode.thisown
InvalidNode.what()
NoChild
NoChild.args
NoChild.thisown
NoChild.what()
NoNeighbour
NoNeighbour.args
NoNeighbour.thisown
NoNeighbour.what()
NoParent
NoParent.args
NoParent.thisown
NoParent.what()
NotFound
NotFound.args
NotFound.thisown
NotFound.what()
NullElement
NullElement.args
NullElement.thisown
NullElement.what()
OperationNotAllowed
OperationNotAllowed.args
OperationNotAllowed.thisown
OperationNotAllowed.what()
OutOfBounds
OutOfBounds.args
OutOfBounds.thisown
OutOfBounds.what()
ArgumentError
ArgumentError.args
ArgumentError.thisown
ArgumentError.what()
SizeError
SizeError.args
SizeError.thisown
SizeError.what()
SyntaxError
SyntaxError.args
SyntaxError.col()
SyntaxError.filename()
SyntaxError.line()
SyntaxError.thisown
SyntaxError.what()
UndefinedElement
UndefinedElement.args
UndefinedElement.thisown
UndefinedElement.what()
UndefinedIteratorKey
UndefinedIteratorKey.args
UndefinedIteratorKey.thisown
UndefinedIteratorKey.what()
UndefinedIteratorValue
UndefinedIteratorValue.args
UndefinedIteratorValue.thisown
UndefinedIteratorValue.what()
UnknownLabelInDatabase
UnknownLabelInDatabase.args
UnknownLabelInDatabase.thisown
UnknownLabelInDatabase.what()
DatabaseError
DatabaseError.args
DatabaseError.thisown
DatabaseError.what()
CPTError
CPTError.args
CPTError.thisown
CPTError.what()
7-Customizing pyAgrum
PyAgrumConfiguration
PyAgrumConfiguration.CastAsBool
PyAgrumConfiguration.CastAsFloat
PyAgrumConfiguration.CastAsInt
PyAgrumConfiguration.Casterization
PyAgrumConfiguration.add_hook()
PyAgrumConfiguration.diff()
PyAgrumConfiguration.get()
PyAgrumConfiguration.grep()
PyAgrumConfiguration.load()
PyAgrumConfiguration.reset()
PyAgrumConfiguration.run_hooks()
PyAgrumConfiguration.save()
PyAgrumConfiguration.set()
Tutorial pyAgrum
Using pyAgrum