SoleModels
Welcome to the documentation for SoleModels, the first ever framework for symbolic learning. This package provides the basic structures for representing symbolic models. Note that it does not provide any implementation of symbolic learning algorithms. At the current state, ModalDecisionTrees is the only implemented algorithm that is Sole-compatible.
Index
SoleLogics.CONJUNCTION
SoleLogics.DISJUNCTION
SoleLogics.IA_L
SoleLogics.globalrel
SoleLogics.AbstractAlphabet
SoleLogics.AbstractFrame
SoleLogics.AbstractInterpretation
SoleLogics.AbstractInterpretationSet
SoleLogics.AbstractKripkeStructure
SoleLogics.AbstractRelation
SoleLogics.AbstractWorld
SoleLogics.Atom
SoleLogics.Formula
SoleLogics.GeometricalWorld
SoleLogics.Interval
SoleLogics.Interval2D
SoleModels.AbstractModel
SoleModels.Branch
SoleModels.ConstantModel
SoleModels.ConstrainedModel
SoleModels.DecisionForest
SoleModels.DecisionList
SoleModels.DecisionTree
SoleModels.FunctionModel
SoleModels.LeafModel
SoleModels.MixedSymbolicModel
SoleModels.Rule
Base.isopen
SoleLogics.accessibles
SoleLogics.check
SoleLogics.syntaxstring
SoleModels.antecedent
SoleModels.apply
SoleModels.check_model_constraints
SoleModels.checkantecedent
SoleModels.consequent
SoleModels.displaymodel
SoleModels.evaluaterule
SoleModels.feasiblemodelstype
SoleModels.immediatesubmodels
SoleModels.info
SoleModels.issymbolic
SoleModels.joinrules
SoleModels.listimmediaterules
SoleModels.listrules
SoleModels.negconsequent
SoleModels.outcometype
SoleModels.outputtype
SoleModels.posconsequent
SoleModels.printmodel
SoleModels.printmodel
SoleModels.propagate_feasiblemodels
SoleModels.readmetrics
SoleModels.rulemetrics
SoleModels.submodels
SoleModels.wrap