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
SoleModels.AbstractModel
SoleModels.Branch
SoleModels.ConstantModel
SoleModels.DecisionEnsemble
SoleModels.DecisionForest
SoleModels.DecisionList
SoleModels.DecisionTree
SoleModels.FunctionModel
SoleModels.LeafModel
SoleModels.MixedModel
SoleModels.Rule
SoleLogics.atoms
SoleLogics.connectives
SoleLogics.height
SoleLogics.height
SoleLogics.natoms
SoleLogics.nconnectives
SoleLogics.nleaves
SoleLogics.nleaves
SoleModels.antecedent
SoleModels.apply
SoleModels.checkantecedent
SoleModels.consequent
SoleModels.defaultconsequent
SoleModels.displaymodel
SoleModels.evaluaterule
SoleModels.f
SoleModels.hasinfo
SoleModels.immediatesubmodels
SoleModels.info
SoleModels.info!
SoleModels.iscomplete
SoleModels.joinrules
SoleModels.listimmediaterules
SoleModels.listrules
SoleModels.negconsequent
SoleModels.nimmediatesubmodels
SoleModels.nnodes
SoleModels.nnodes
SoleModels.nsyntaxleaves
SoleModels.ntrees
SoleModels.outcome
SoleModels.outcometype
SoleModels.outputtype
SoleModels.parse_orange_decision_list
SoleModels.posconsequent
SoleModels.printmodel
SoleModels.readmetrics
SoleModels.root
SoleModels.root
SoleModels.rulebase
SoleModels.rulemetrics
SoleModels.solemodel
SoleModels.submodels
SoleModels.syntaxleaves
SoleModels.trees
SoleModels.wrap