Tools for Bayesian networks

aGrUM/pyAgrum provide a set of classes and functions in order to easely work with Bayesian networks.

• Generation of database
  • BNDatabaseGenerator
    • BNDatabaseGenerator.bn()
    • BNDatabaseGenerator.drawSamples()
    • BNDatabaseGenerator.log2likelihood()
    • BNDatabaseGenerator.samplesAt()
    • BNDatabaseGenerator.samplesLabelAt()
    • BNDatabaseGenerator.samplesNbCols()
    • BNDatabaseGenerator.samplesNbRows()
    • BNDatabaseGenerator.setAntiTopologicalVarOrder()
    • BNDatabaseGenerator.setRandomVarOrder()
    • BNDatabaseGenerator.setTopologicalVarOrder()
    • BNDatabaseGenerator.setVarOrder()
    • BNDatabaseGenerator.setVarOrderFromCSV()
    • BNDatabaseGenerator.toCSV()
    • BNDatabaseGenerator.to_pandas()
    • BNDatabaseGenerator.varOrder()
    • BNDatabaseGenerator.varOrderNames()
• Comparison of Bayesian networks
  • ExactBNdistance
    • ExactBNdistance.compute()
  • GibbsBNdistance
    • GibbsBNdistance.burnIn()
    • GibbsBNdistance.compute()
    • GibbsBNdistance.continueApproximationScheme()
    • GibbsBNdistance.currentTime()
    • GibbsBNdistance.disableEpsilon()
    • GibbsBNdistance.disableMaxIter()
    • GibbsBNdistance.disableMaxTime()
    • GibbsBNdistance.disableMinEpsilonRate()
    • GibbsBNdistance.enableEpsilon()
    • GibbsBNdistance.enableMaxIter()
    • GibbsBNdistance.enableMaxTime()
    • GibbsBNdistance.enableMinEpsilonRate()
    • GibbsBNdistance.epsilon()
    • GibbsBNdistance.history()
    • GibbsBNdistance.initApproximationScheme()
    • GibbsBNdistance.isDrawnAtRandom()
    • GibbsBNdistance.isEnabledEpsilon()
    • GibbsBNdistance.isEnabledMaxIter()
    • GibbsBNdistance.isEnabledMaxTime()
    • GibbsBNdistance.isEnabledMinEpsilonRate()
    • GibbsBNdistance.maxIter()
    • GibbsBNdistance.maxTime()
    • GibbsBNdistance.messageApproximationScheme()
    • GibbsBNdistance.minEpsilonRate()
    • GibbsBNdistance.nbrDrawnVar()
    • GibbsBNdistance.nbrIterations()
    • GibbsBNdistance.periodSize()
    • GibbsBNdistance.remainingBurnIn()
    • GibbsBNdistance.setBurnIn()
    • GibbsBNdistance.setDrawnAtRandom()
    • GibbsBNdistance.setEpsilon()
    • GibbsBNdistance.setMaxIter()
    • GibbsBNdistance.setMaxTime()
    • GibbsBNdistance.setMinEpsilonRate()
    • GibbsBNdistance.setNbrDrawnVar()
    • GibbsBNdistance.setPeriodSize()
    • GibbsBNdistance.setVerbosity()
    • GibbsBNdistance.startOfPeriod()
    • GibbsBNdistance.stateApproximationScheme()
    • GibbsBNdistance.stopApproximationScheme()
    • GibbsBNdistance.updateApproximationScheme()
    • GibbsBNdistance.verbosity()
• Explanation and analysis
  • JunctionTreeGenerator
    • JunctionTreeGenerator.binaryJoinTree()
    • JunctionTreeGenerator.eliminationOrder()
    • JunctionTreeGenerator.junctionTree()
  • EssentialGraph
    • EssentialGraph.arcs()
    • EssentialGraph.children()
    • EssentialGraph.connectedComponents()
    • EssentialGraph.edges()
    • EssentialGraph.mixedGraph()
    • EssentialGraph.neighbours()
    • EssentialGraph.nodes()
    • EssentialGraph.parents()
    • EssentialGraph.size()
    • EssentialGraph.sizeArcs()
    • EssentialGraph.sizeEdges()
    • EssentialGraph.sizeNodes()
    • EssentialGraph.skeleton()
    • EssentialGraph.toDot()
  • MarkovBlanket
    • MarkovBlanket.arcs()
    • MarkovBlanket.children()
    • MarkovBlanket.connectedComponents()
    • MarkovBlanket.dag()
    • MarkovBlanket.hasSameStructure()
    • MarkovBlanket.nodes()
    • MarkovBlanket.parents()
    • MarkovBlanket.size()
    • MarkovBlanket.sizeArcs()
    • MarkovBlanket.sizeNodes()
    • MarkovBlanket.toDot()
• Fragment of Bayesian networks
  • BayesNetFragment
    • BayesNetFragment.addArcs()
    • BayesNetFragment.addStructureListener()
    • BayesNetFragment.addVariables()
    • BayesNetFragment.ancestors()
    • BayesNetFragment.arcs()
    • BayesNetFragment.check()
    • BayesNetFragment.checkConsistency()
    • BayesNetFragment.children()
    • BayesNetFragment.completeInstantiation()
    • BayesNetFragment.connectedComponents()
    • BayesNetFragment.cpt()
    • BayesNetFragment.dag()
    • BayesNetFragment.descendants()
    • BayesNetFragment.dim()
    • BayesNetFragment.empty()
    • BayesNetFragment.exists()
    • BayesNetFragment.existsArc()
    • BayesNetFragment.family()
    • BayesNetFragment.hasSameStructure()
    • BayesNetFragment.idFromName()
    • BayesNetFragment.ids()
    • BayesNetFragment.installAscendants()
    • BayesNetFragment.installCPT()
    • BayesNetFragment.installMarginal()
    • BayesNetFragment.installNode()
    • BayesNetFragment.isIndependent()
    • BayesNetFragment.isInstalledNode()
    • BayesNetFragment.jointProbability()
    • BayesNetFragment.log10DomainSize()
    • BayesNetFragment.log2JointProbability()
    • BayesNetFragment.maxNonOneParam()
    • BayesNetFragment.maxParam()
    • BayesNetFragment.maxVarDomainSize()
    • BayesNetFragment.minNonZeroParam()
    • BayesNetFragment.minParam()
    • BayesNetFragment.minimalCondSet()
    • BayesNetFragment.moralGraph()
    • BayesNetFragment.moralizedAncestralGraph()
    • BayesNetFragment.names()
    • BayesNetFragment.nodeId()
    • BayesNetFragment.nodes()
    • BayesNetFragment.nodeset()
    • BayesNetFragment.parents()
    • BayesNetFragment.property()
    • BayesNetFragment.propertyWithDefault()
    • BayesNetFragment.setProperty()
    • BayesNetFragment.size()
    • BayesNetFragment.sizeArcs()
    • BayesNetFragment.toBN()
    • BayesNetFragment.toDot()
    • BayesNetFragment.topologicalOrder()
    • BayesNetFragment.uninstallCPT()
    • BayesNetFragment.uninstallNode()
    • BayesNetFragment.variable()
    • BayesNetFragment.variableFromName()
    • BayesNetFragment.variableNodeMap()
    • BayesNetFragment.whenArcAdded()
    • BayesNetFragment.whenArcDeleted()
    • BayesNetFragment.whenNodeAdded()
    • BayesNetFragment.whenNodeDeleted()