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[DL-Learner SVN] SF.net SVN: dl-learner: [751] trunk/doc/configOptions.txt
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From: <ku...@us...> - 2008-04-02 10:44:36
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Revision: 751
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=751&view=rev
Author: kurzum
Date: 2008-04-02 03:44:32 -0700 (Wed, 02 Apr 2008)
Log Message:
-----------
updated configOptions.txt
Modified Paths:
--------------
trunk/doc/configOptions.txt
Modified: trunk/doc/configOptions.txt
===================================================================
--- trunk/doc/configOptions.txt 2008-04-02 10:31:31 UTC (rev 750)
+++ trunk/doc/configOptions.txt 2008-04-02 10:44:32 UTC (rev 751)
@@ -7,161 +7,189 @@
component: KB file (org.dllearner.kb.KBFile)
============================================
-Usage:
-import("kbFileName.kb");
+CLI usage: import = ;
option name: filename
description: pointer to the KB file on local file system
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: .filename = null;
option name: url
description: URL pointer to the KB file
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: .url = null;
+
component: OWL file (org.dllearner.kb.OWLFile)
==============================================
-Usage:
-import("owlFileName.owl");
+CLI usage: import = ;
option name: url
description: URL pointing to the OWL file
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: .url = null;
+
component: SPARQL Endpoint (org.dllearner.kb.sparql.SparqlKnowledgeSource)
==========================================================================
-Usage:
-Example: import("http://dbpedia.openlinksw.com:8890/sparql","SPARQL");
+CLI usage: import = sparql;
option name: url
description: URL of SPARQL Endpoint
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: sparql.url = null;
option name: instances
description: relevant instances e.g. positive and negative examples in a learning problem
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: sparql.instances = null;
option name: recursionDepth
description: recursion depth of KB fragment selection
values: class org.dllearner.core.config.IntegerConfigOption
default value: 2
+CLI usage: sparql.recursionDepth = 2;
option name: predefinedFilter
description: the mode of the SPARQL Filter
values: class org.dllearner.core.config.IntegerConfigOption
default value: null
+CLI usage: sparql.predefinedFilter = null;
option name: predefinedEndpoint
description: the mode of the SPARQL Filter
values: class org.dllearner.core.config.IntegerConfigOption
default value: null
+CLI usage: sparql.predefinedEndpoint = null;
option name: predList
description: list of all ignored roles
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: sparql.predList = null;
option name: objList
description: list of all ignored objects
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: sparql.objList = null;
option name: classList
description: list of all ignored classes
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: sparql.classList = null;
option name: format
description: N-TRIPLES or KB format
values: class org.dllearner.core.config.StringConfigOption
default value: N-TRIPLES
+CLI usage: sparql.format = N-TRIPLES;
option name: dumpToFile
description: Specifies whether the extracted ontology is written to a file or not.
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: sparql.dumpToFile = true;
option name: useLits
description: use Literals in SPARQL query
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: sparql.useLits = null;
option name: getAllSuperClasses
description: If true then all superclasses are retrieved until the most general class (owl:Thing) is reached.
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: sparql.getAllSuperClasses = true;
option name: learnDomain
description: learns the Domain for a Role
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: sparql.learnDomain = null;
option name: learnRange
description: learns the Range for a Role
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: sparql.learnRange = null;
option name: role
description: role to learn Domain/Range from
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: sparql.role = null;
option name: blankNodeIdentifier
description: used to identify blanknodes in Tripels
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: sparql.blankNodeIdentifier = null;
option name: example
description: example
values: class org.dllearner.core.config.StringTupleListConfigOption
default value: null
+CLI usage: sparql.example = null;
option name: replacePredicate
description: rule for replacing predicates
values: class org.dllearner.core.config.StringTupleListConfigOption
default value: null
+CLI usage: sparql.replacePredicate = null;
option name: replaceObject
description: rule for replacing predicates
values: class org.dllearner.core.config.StringTupleListConfigOption
default value: null
+CLI usage: sparql.replaceObject = null;
option name: breakSuperClassRetrievalAfter
description: stops a cyclic hierarchy after specified number of classes
values: class org.dllearner.core.config.IntegerConfigOption
default value: null
+CLI usage: sparql.breakSuperClassRetrievalAfter = null;
option name: numberOfInstancesUsedForRoleLearning
description:
values: class org.dllearner.core.config.IntegerConfigOption
default value: null
+CLI usage: sparql.numberOfInstancesUsedForRoleLearning = null;
option name: closeAfterRecursion
description: gets all classes for all instances
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: sparql.closeAfterRecursion = null;
option name: verbosity
description: control verbosity of output for this component
values: class org.dllearner.core.config.StringConfigOption
default value: warning
+CLI usage: sparql.verbosity = warning;
option name: defaultGraphURIs
description: a list of all default Graph URIs
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: sparql.defaultGraphURIs = null;
option name: namedGraphURIs
description: a list of all named Graph URIs
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: sparql.namedGraphURIs = null;
+
*************
* Reasoners *
*************
@@ -169,47 +197,51 @@
component: DIG reasoner (org.dllearner.reasoning.DIGReasoner)
=============================================================
-Usage:
-reasoner = dig;
+CLI usage: reasoner = digReasoner;
option name: reasonerUrl
description: URL of the DIG reasoner
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: digReasoner.reasonerUrl = null;
option name: writeDIGProtocol
description: specifies whether or not to write a protocoll of send and received DIG requests
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: digReasoner.writeDIGProtocol = false;
option name: digProtocolFile
description: the file to store the DIG protocol
values: class org.dllearner.core.config.StringConfigOption
default value: log/digProtocol.txt
+CLI usage: digReasoner.digProtocolFile = log/digProtocol.txt;
+
component: fast instance checker (org.dllearner.reasoning.FastInstanceChecker)
==============================================================================
-Usage:
-reasoner = fastInstanceChecker;
+CLI usage: reasoner = fastInstanceChecker;
+
component: fast retrieval reasoner (org.dllearner.reasoning.FastRetrievalReasoner)
==================================================================================
-Usage:
-reasoner = XXX;
+CLI usage: reasoner = ;
+
component: OWL API reasoner (org.dllearner.reasoning.OWLAPIReasoner)
====================================================================
-Usage:
-reasoner = owlAPI;
+CLI usage: reasoner = owlAPIReasoner;
option name: reasonerType
description: FaCT++ or Pellet
values: class org.dllearner.core.config.StringConfigOption
default value: pellet
+CLI usage: owlAPIReasoner.reasonerType = pellet;
+
*********************
* Learning Problems *
*********************
@@ -217,76 +249,87 @@
component: two valued definition learning problem (org.dllearner.learningproblems.PosNegDefinitionLP)
=====================================================================================================
-Usage:
-problem = XXX DEFAULT
+CLI usage: problem = posNegDefinitionLP;
option name: positiveExamples
description: positive examples
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: posNegDefinitionLP.positiveExamples = null;
option name: negativeExamples
description: negative examples
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: posNegDefinitionLP.negativeExamples = null;
option name: useRetrievalForClassficiation
description: Specifies whether to use retrieval or instance checks for testing a concept.
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: posNegDefinitionLP.useRetrievalForClassficiation = null;
option name: percentPerLenghtUnit
description: describes the reduction in classification accuracy in percent one is willing to accept for reducing the length of the concept by one
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.05
+CLI usage: posNegDefinitionLP.percentPerLenghtUnit = 0.05;
option name: useMultiInstanceChecks
description: See UseMultiInstanceChecks enum.
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: posNegDefinitionLP.useMultiInstanceChecks = null;
+
component: inclusion learning problem (org.dllearner.learningproblems.PosNegInclusionLP)
========================================================================================
-Usage:
-problem = posNegInclusion;
+CLI usage: problem = posNegInclusionLP;
option name: positiveExamples
description: positive examples
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: posNegInclusionLP.positiveExamples = null;
option name: negativeExamples
description: negative examples
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: posNegInclusionLP.negativeExamples = null;
option name: useRetrievalForClassficiation
description: Specifies whether to use retrieval or instance checks for testing a concept.
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: posNegInclusionLP.useRetrievalForClassficiation = null;
option name: percentPerLenghtUnit
description: describes the reduction in classification accuracy in percent one is willing to accept for reducing the length of the concept by one
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.05
+CLI usage: posNegInclusionLP.percentPerLenghtUnit = 0.05;
option name: useMultiInstanceChecks
description: See UseMultiInstanceChecks enum.
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: posNegInclusionLP.useMultiInstanceChecks = null;
+
component: positive only definition learning problem (org.dllearner.learningproblems.PosOnlyDefinitionLP)
=========================================================================================================
-Usage:
-problem = posOnlyDefinition;
+CLI usage: problem = posOnlyDefinitionLP;
option name: positiveExamples
description: positive examples
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: posOnlyDefinitionLP.positiveExamples = null;
+
***********************
* Learning Algorithms *
***********************
@@ -294,335 +337,396 @@
component: brute force learning algorithm (org.dllearner.algorithms.BruteForceLearner)
======================================================================================
-Usage:
-null
+CLI usage: algorithm = ;
option name: maxLength
description: maximum length of generated concepts
values: class org.dllearner.core.config.IntegerConfigOption
default value: null
+CLI usage: .maxLength = null;
option name: returnType
description: Specifies the type which the solution has to belong to (if already) known. This means we inform the learning algorithm that the solution is a subclass of this type.
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: .returnType = null;
+
component: random guesser learning algorithm (org.dllearner.algorithms.RandomGuesser)
=====================================================================================
-Usage:
-null
+CLI usage: algorithm = ;
option name: numberOfTrees
description: number of randomly generated concepts/trees
values: class org.dllearner.core.config.IntegerConfigOption
default value: null
+CLI usage: .numberOfTrees = null;
option name: maxDepth
description: maximum depth of generated concepts/trees
values: class org.dllearner.core.config.IntegerConfigOption
default value: null
+CLI usage: .maxDepth = null;
+
component: genetic programming learning algorithm (org.dllearner.algorithms.gp.GP)
==================================================================================
-Usage:
-null
+CLI usage: algorithm = gp;
option name: selectionType
description: selection type
values: class org.dllearner.core.config.StringConfigOption
default value: rankSelection
+CLI usage: gp.selectionType = rankSelection;
option name: tournamentSize
description: tournament size (applies only to tournament selection)
values: class org.dllearner.core.config.IntegerConfigOption min 2 max 20
default value: 3
+CLI usage: gp.tournamentSize = 3;
option name: elitism
description: specifies whether to use elitism in selection
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: gp.elitism = true;
option name: mutationProbablitiy
description: mutation probability
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.03
+CLI usage: gp.mutationProbablitiy = 0.03;
option name: crossoverProbablitiy
description: crossover probability
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.95
+CLI usage: gp.crossoverProbablitiy = 0.95;
option name: hillClimbingProbablitiy
description: hill climbing probability
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.0
+CLI usage: gp.hillClimbingProbablitiy = 0.0;
option name: refinementProbablitiy
description: refinement operator probability (values higher than 0 turn this into a hybrid GP algorithm - see publication)
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.0
+CLI usage: gp.refinementProbablitiy = 0.0;
option name: numberOfIndividuals
description: number of individuals
values: class org.dllearner.core.config.IntegerConfigOption min 1
default value: 100
+CLI usage: gp.numberOfIndividuals = 100;
option name: numberOfSelectedIndividuals
description: number of selected individuals
values: class org.dllearner.core.config.IntegerConfigOption min 1
default value: 92
+CLI usage: gp.numberOfSelectedIndividuals = 92;
option name: useFixedNumberOfGenerations
description: specifies whether to use a fixed number of generations
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: gp.useFixedNumberOfGenerations = false;
option name: generations
description: number of generations (only valid if a fixed number of generations is used)
values: class org.dllearner.core.config.IntegerConfigOption min 1
default value: 20
+CLI usage: gp.generations = 20;
option name: postConvergenceGenerations
description: number of generations after which to stop if no improvement wrt. the best solution has been achieved
values: class org.dllearner.core.config.IntegerConfigOption min 1
default value: 50
+CLI usage: gp.postConvergenceGenerations = 50;
option name: adc
description: whether to use automatically defined concept (this invents new helper concepts, but enlarges the search space
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: gp.adc = false;
option name: initMinDepth
description: minimum depth to use when creating the initial population
values: class org.dllearner.core.config.IntegerConfigOption min 1
default value: 4
+CLI usage: gp.initMinDepth = 4;
option name: initMaxDepth
description: maximum depth to use when creating the initial population
values: class org.dllearner.core.config.IntegerConfigOption min 1
default value: 6
+CLI usage: gp.initMaxDepth = 6;
option name: maxConceptLength
description: maximum concept length (higher length means lowest possible fitness)
values: class org.dllearner.core.config.IntegerConfigOption min 1
default value: 75
+CLI usage: gp.maxConceptLength = 75;
+
component: example driven refinement operator based learning algorithm (org.dllearner.algorithms.refexamples.ExampleBasedROLComponent)
======================================================================================================================================
-Usage:
-algorithm = refexamples;
+CLI usage: algorithm = refexamples;
option name: writeSearchTree
description: specifies whether to write a search tree
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: refexamples.writeSearchTree = false;
option name: searchTreeFile
description: file to use for the search tree
values: class org.dllearner.core.config.StringConfigOption
default value: log/searchTree.txt
+CLI usage: refexamples.searchTreeFile = log/searchTree.txt;
option name: replaceSearchTree
description: specifies whether to replace the search tree in the log file after each run or append the new search tree
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: refexamples.replaceSearchTree = false;
option name: heuristic
description: specifiy the heuristic to use
values: class org.dllearner.core.config.StringConfigOption
default value: lexicographic
+CLI usage: refexamples.heuristic = lexicographic;
option name: applyAllFilter
description: usage of equivalence ALL R.C AND ALL R.D = ALL R.(C AND D)
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refexamples.applyAllFilter = true;
option name: applyExistsFilter
description: usage of equivalence EXISTS R.C OR EXISTS R.D = EXISTS R.(C OR D)
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refexamples.applyExistsFilter = true;
option name: useTooWeakList
description: try to filter out too weak concepts without sending them to the reasoner
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refexamples.useTooWeakList = true;
option name: useOverlyGeneralList
description: try to find overly general concept without sending them to the reasoner
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refexamples.useOverlyGeneralList = true;
option name: useShortConceptConstruction
description: shorten concept to see whether they already exist
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refexamples.useShortConceptConstruction = true;
option name: horizontalExpansionFactor
description: horizontal expansion factor (see publication for description)
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.6
+CLI usage: refexamples.horizontalExpansionFactor = 0.6;
option name: improveSubsumptionHierarchy
description: simplify subsumption hierarchy to reduce search space (see publication for description)
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refexamples.improveSubsumptionHierarchy = true;
option name: allowedConcepts
description: concepts the algorithm is allowed to use
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refexamples.allowedConcepts = null;
option name: ignoredConcepts
description: concepts the algorithm must ignore
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refexamples.ignoredConcepts = null;
option name: allowedRoles
description: roles the algorithm is allowed to use
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refexamples.allowedRoles = null;
option name: ignoredRoles
description: roles the algorithm must ignore
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refexamples.ignoredRoles = null;
option name: useAllConstructor
description: specifies whether to universal concept constructor is used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refexamples.useAllConstructor = null;
option name: useExistsConstructor
description: specifies whether to existential concept constructor is used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refexamples.useExistsConstructor = null;
option name: useNegation
description: specifies whether negation is used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refexamples.useNegation = null;
option name: useBooleanDatatypes
description: specifies whether boolean datatypes are used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refexamples.useBooleanDatatypes = null;
option name: noisePercentage
description: the (approximated) percentage of noise within the examples
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 100.0
default value: null
+CLI usage: refexamples.noisePercentage = null;
option name: startClass
description: the named class which should be used to start the algorithm (GUI: needs a widget for selecting a class)
values: class org.dllearner.core.config.StringConfigOption
default value: null
+CLI usage: refexamples.startClass = null;
+
component: refinement operator based learning algorithm (org.dllearner.algorithms.refinement.ROLearner)
=======================================================================================================
-Usage:
-algorithm = refinement;
+CLI usage: algorithm = refinement;
option name: writeSearchTree
description: specifies whether to write a search tree
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: refinement.writeSearchTree = false;
option name: searchTreeFile
description: file to use for the search tree
values: class org.dllearner.core.config.StringConfigOption
default value: log/searchTree.txt
+CLI usage: refinement.searchTreeFile = log/searchTree.txt;
option name: replaceSearchTree
description: specifies whether to replace the search tree in the log file after each run or append the new search tree
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: refinement.replaceSearchTree = false;
option name: heuristic
description: specifiy the heuristic to use
values: class org.dllearner.core.config.StringConfigOption
default value: lexicographic
+CLI usage: refinement.heuristic = lexicographic;
option name: applyAllFilter
description: usage of equivalence ALL R.C AND ALL R.D = ALL R.(C AND D)
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refinement.applyAllFilter = true;
option name: applyExistsFilter
description: usage of equivalence EXISTS R.C OR EXISTS R.D = EXISTS R.(C OR D)
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refinement.applyExistsFilter = true;
option name: useTooWeakList
description: try to filter out too weak concepts without sending them to the reasoner
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refinement.useTooWeakList = true;
option name: useOverlyGeneralList
description: try to find overly general concept without sending them to the reasoner
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refinement.useOverlyGeneralList = true;
option name: useShortConceptConstruction
description: shorten concept to see whether they already exist
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refinement.useShortConceptConstruction = true;
option name: horizontalExpansionFactor
description: horizontal expansion factor (see publication for description)
values: class org.dllearner.core.config.DoubleConfigOption min 0.0 max 1.0
default value: 0.6
+CLI usage: refinement.horizontalExpansionFactor = 0.6;
option name: improveSubsumptionHierarchy
description: simplify subsumption hierarchy to reduce search space (see publication for description)
values: class org.dllearner.core.config.BooleanConfigOption
default value: true
+CLI usage: refinement.improveSubsumptionHierarchy = true;
option name: quiet
description: may be deprecated soon
values: class org.dllearner.core.config.BooleanConfigOption
default value: false
+CLI usage: refinement.quiet = false;
option name: allowedConcepts
description: concepts the algorithm is allowed to use
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refinement.allowedConcepts = null;
option name: ignoredConcepts
description: concepts the algorithm must ignore
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refinement.ignoredConcepts = null;
option name: allowedRoles
description: roles the algorithm is allowed to use
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refinement.allowedRoles = null;
option name: ignoredRoles
description: roles the algorithm must ignore
values: class org.dllearner.core.config.StringSetConfigOption
default value: null
+CLI usage: refinement.ignoredRoles = null;
option name: useAllConstructor
description: specifies whether to universal concept constructor is used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refinement.useAllConstructor = null;
option name: useExistsConstructor
description: specifies whether to existential concept constructor is used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refinement.useExistsConstructor = null;
option name: useNegation
description: specifies whether negation is used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refinement.useNegation = null;
option name: useBooleanDatatypes
description: specifies whether boolean datatypes are used in the learning algorothm
values: class org.dllearner.core.config.BooleanConfigOption
default value: null
+CLI usage: refinement.useBooleanDatatypes = null;
+
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