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A

AbstractDTLearner<M extends net.automatalib.automata.concepts.SuffixOutput<I,O>,I,O,SP,TP> - Class in de.learnlib.algorithms.discriminationtree
 
AbstractDTLearner(Alphabet<I>, MembershipOracle<I, O>, LocalSuffixFinder<? super I, ? super O>, boolean, DiscriminationTree<I, O, HState<I, O, SP, TP>>) - Constructor for class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
AbstractDTLearner.BuilderDefaults - Class in de.learnlib.algorithms.discriminationtree
 
AbstractDTLearner.BuilderDefaults() - Constructor for class de.learnlib.algorithms.discriminationtree.AbstractDTLearner.BuilderDefaults
 
addChild(O, D) - Method in class de.learnlib.discriminationtree.DTNode
 
addNonTreeIncoming(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
appendAccessSequence(List<? super I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 

B

BinaryDTNode<I,D> - Class in de.learnlib.discriminationtree
 
BinaryDTNode(D) - Constructor for class de.learnlib.discriminationtree.BinaryDTNode
 
BinaryDTNode(DTNode<I, Boolean, D>, Boolean, D) - Constructor for class de.learnlib.discriminationtree.BinaryDTNode
 
BinaryDTree<I,D> - Class in de.learnlib.discriminationtree
 
BinaryDTree(D, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.discriminationtree.BinaryDTree
 
BinaryDTree(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.discriminationtree.BinaryDTree
 
BooleanMap<V> - Class in de.learnlib.discriminationtree
 
BooleanMap() - Constructor for class de.learnlib.discriminationtree.BooleanMap
 
BooleanMap(V, V) - Constructor for class de.learnlib.discriminationtree.BooleanMap
 

C

child(O) - Method in class de.learnlib.discriminationtree.DTNode
 
child(O, D) - Method in class de.learnlib.discriminationtree.DTNode
 
children - Variable in class de.learnlib.discriminationtree.DTNode
 
clear() - Method in class de.learnlib.discriminationtree.BooleanMap
 
containsKey(Object) - Method in class de.learnlib.discriminationtree.BooleanMap
 
containsValue(Object) - Method in class de.learnlib.discriminationtree.BooleanMap
 
createChild(Boolean, D) - Method in class de.learnlib.discriminationtree.BinaryDTNode
 
createChild(O, D) - Method in class de.learnlib.discriminationtree.DTNode
 
createChild(O, D) - Method in class de.learnlib.discriminationtree.MultiDTNode
 
createChildMap() - Method in class de.learnlib.discriminationtree.BinaryDTNode
 
createChildMap() - Method in class de.learnlib.discriminationtree.DTNode
 
createChildMap() - Method in class de.learnlib.discriminationtree.MultiDTNode
 
createState(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
createState(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
currentTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 

D

data - Variable in class de.learnlib.discriminationtree.DTNode
 
de.learnlib.algorithms.discriminationtree - package de.learnlib.algorithms.discriminationtree
 
de.learnlib.algorithms.discriminationtree.dfa - package de.learnlib.algorithms.discriminationtree.dfa
 
de.learnlib.algorithms.discriminationtree.hypothesis - package de.learnlib.algorithms.discriminationtree.hypothesis
 
de.learnlib.algorithms.discriminationtree.mealy - package de.learnlib.algorithms.discriminationtree.mealy
 
de.learnlib.discriminationtree - package de.learnlib.discriminationtree
 
depth - Variable in class de.learnlib.discriminationtree.DTNode
 
DiscriminationTree<I,O,D> - Class in de.learnlib.discriminationtree
 
DiscriminationTree(DTNode<I, O, D>, MembershipOracle<I, O>) - Constructor for class de.learnlib.discriminationtree.DiscriminationTree
 
DiscriminationTree.GraphView - Class in de.learnlib.discriminationtree
 
DiscriminationTree.GraphView() - Constructor for class de.learnlib.discriminationtree.DiscriminationTree.GraphView
 
DiscriminationTree.LCAInfo<I,O,D> - Class in de.learnlib.discriminationtree
 
discriminator - Variable in class de.learnlib.discriminationtree.DTNode
 
DTLearnerDFA<I> - Class in de.learnlib.algorithms.discriminationtree.dfa
Algorithm for learning DFA using the Discrimination Tree algorithm.
DTLearnerDFA(Alphabet<I>, MembershipOracle<I, Boolean>, LocalSuffixFinder<? super I, ? super Boolean>, boolean, boolean) - Constructor for class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
Constructor.
DTLearnerDFA.BuilderDefaults - Class in de.learnlib.algorithms.discriminationtree.dfa
 
DTLearnerDFA.BuilderDefaults() - Constructor for class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA.BuilderDefaults
 
DTLearnerHypothesis<I,O,SP,TP> - Class in de.learnlib.algorithms.discriminationtree.hypothesis
Basic hypothesis data structure for Discrimination Tree learning algorithms.
DTLearnerHypothesis(Alphabet<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
DTLearnerHypothesis.GraphView - Class in de.learnlib.algorithms.discriminationtree.hypothesis
 
DTLearnerHypothesis.GraphView() - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
DTLearnerMealy<I,O> - Class in de.learnlib.algorithms.discriminationtree.mealy
 
DTLearnerMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, LocalSuffixFinder<? super I, ? super Word<O>>, boolean) - Constructor for class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
Constructor.
DTNode<I,O,D> - Class in de.learnlib.discriminationtree
 
DTNode(D) - Constructor for class de.learnlib.discriminationtree.DTNode
 
DTNode(DTNode<I, O, D>, O, D) - Constructor for class de.learnlib.discriminationtree.DTNode
 
DTNode.SplitResult<I,O,D> - Class in de.learnlib.discriminationtree
 
DTNode.SplitResult(DTNode<I, O, D>, DTNode<I, O, D>) - Constructor for class de.learnlib.discriminationtree.DTNode.SplitResult
 
dtree - Variable in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 

E

entrySet() - Method in class de.learnlib.discriminationtree.BooleanMap
 
epsilonRoot() - Static method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA.BuilderDefaults
 

F

fetchNonTreeIncoming(Collection<? super HTransition<I, O, SP, TP>>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 

G

get(boolean) - Method in class de.learnlib.discriminationtree.BooleanMap
 
get(Object) - Method in class de.learnlib.discriminationtree.BooleanMap
 
getAccessSequence() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getAccessSequence() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getChild(O) - Method in class de.learnlib.discriminationtree.DTNode
 
getChildEntries() - Method in class de.learnlib.discriminationtree.DTNode
 
getData() - Method in class de.learnlib.discriminationtree.DTNode
 
getDepth() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getDiscriminationTree() - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
getDiscriminator() - Method in class de.learnlib.discriminationtree.DTNode
 
getDT() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getDTLeaf() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getGraphDOTHelper() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getGraphDOTHelper() - Method in class de.learnlib.discriminationtree.DiscriminationTree.GraphView
 
getHypothesisDS() - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
getHypothesisModel() - Method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
 
getHypothesisModel() - Method in class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
 
getId() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getInitialState() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getNode(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getNodeId(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getNodes() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getNodes() - Method in class de.learnlib.discriminationtree.DiscriminationTree.GraphView
 
getOutgoingEdges(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getOutgoingEdges(DTNode<I, O, D>) - Method in class de.learnlib.discriminationtree.DiscriminationTree.GraphView
 
getOutgoingTransitions() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getProperty() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getProperty() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getRoot() - Method in class de.learnlib.discriminationtree.DiscriminationTree
 
getSource() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getState(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getStateId(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getStateProperty(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getStates() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getSuccessor(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getSymbol() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getTarget(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getTarget(Map.Entry<O, DTNode<I, O, D>>) - Method in class de.learnlib.discriminationtree.DiscriminationTree.GraphView
 
getTransition(HState<I, O, SP, TP>, I) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getTransition(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getTransitionProperty(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getTreeIncoming() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getTreeTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
graphView() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
graphView() - Method in class de.learnlib.discriminationtree.DiscriminationTree
 

H

HState<I,O,SP,TP> - Class in de.learnlib.algorithms.discriminationtree.hypothesis
 
HState(int) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
HState(int, int, HTransition<I, O, SP, TP>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
HTransition<I,O,SP,TP> - Class in de.learnlib.algorithms.discriminationtree.hypothesis
 
HTransition(HState<I, O, SP, TP>, I, DTNode<I, O, HState<I, O, SP, TP>>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
hypothesis - Variable in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 

I

initializeState(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
isAccessSequence(Word<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
isEmpty() - Method in class de.learnlib.discriminationtree.BooleanMap
 
isLeaf() - Method in class de.learnlib.discriminationtree.DTNode
 
isTree() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 

K

keySet() - Method in class de.learnlib.discriminationtree.BooleanMap
 

L

lcaInfo(DTNode<I, O, D>, DTNode<I, O, D>) - Method in class de.learnlib.discriminationtree.DiscriminationTree
 
leastCommonAncestor - Variable in class de.learnlib.discriminationtree.DiscriminationTree.LCAInfo
 
leastCommonAncestor(DTNode<I, O, D>, DTNode<I, O, D>) - Method in class de.learnlib.discriminationtree.DiscriminationTree
 

M

makeTree(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
MultiDTNode<I,O,D> - Class in de.learnlib.discriminationtree
 
MultiDTNode(D) - Constructor for class de.learnlib.discriminationtree.MultiDTNode
 
MultiDTNode(DTNode<I, O, D>, O, D) - Constructor for class de.learnlib.discriminationtree.MultiDTNode
 
MultiDTree<I,O,D> - Class in de.learnlib.discriminationtree
 
MultiDTree(MembershipOracle<I, O>) - Constructor for class de.learnlib.discriminationtree.MultiDTree
 
MultiDTree(D, MembershipOracle<I, O>) - Constructor for class de.learnlib.discriminationtree.MultiDTree
 

N

nodeIDs() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
nodeNew - Variable in class de.learnlib.discriminationtree.DTNode.SplitResult
 
nodeOld - Variable in class de.learnlib.discriminationtree.DTNode.SplitResult
 
nonTreeTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 

P

parent - Variable in class de.learnlib.discriminationtree.DTNode
 
parentOutcome - Variable in class de.learnlib.discriminationtree.DTNode
 
put(boolean, V) - Method in class de.learnlib.discriminationtree.BooleanMap
 
put(Boolean, V) - Method in class de.learnlib.discriminationtree.BooleanMap
 
putAll(Map<? extends Boolean, ? extends V>) - Method in class de.learnlib.discriminationtree.BooleanMap
 

R

refineHypothesis(DefaultQuery<I, O>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
refineHypothesisSingle(DefaultQuery<I, O>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
remove(Object) - Method in class de.learnlib.discriminationtree.BooleanMap
 
repeatedCounterexampleEvaluation() - Static method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner.BuilderDefaults
 

S

setData(D) - Method in class de.learnlib.discriminationtree.DTNode
 
setDT(DTNode<I, O, HState<I, O, SP, TP>>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
setDTLeaf(DTNode<I, O, HState<I, O, SP, TP>>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
setProperty(SP) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
setProperty(TP) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
setTransition(int, HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
sift(Word<I>) - Method in class de.learnlib.discriminationtree.DiscriminationTree
 
sift(DTNode<I, O, D>, Word<I>) - Method in class de.learnlib.discriminationtree.DiscriminationTree
 
size() - Method in class de.learnlib.discriminationtree.BooleanMap
 
split(Word<I>, O, O, D) - Method in class de.learnlib.discriminationtree.DTNode
 
spQuery(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
spQuery(HState<I, Boolean, Boolean, Void>) - Method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
 
spQuery(HState<I, Word<O>, Void, O>) - Method in class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
 
startLearning() - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
stateIDs() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
subtree1Label - Variable in class de.learnlib.discriminationtree.DiscriminationTree.LCAInfo
 
subtree2Label - Variable in class de.learnlib.discriminationtree.DiscriminationTree.LCAInfo
 
suffixFinder() - Static method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner.BuilderDefaults
 

T

toString() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
tpQuery(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
tpQuery(HTransition<I, Boolean, Boolean, Void>) - Method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
 
tpQuery(HTransition<I, Word<O>, Void, O>) - Method in class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
 
transformAccessSequence(Word<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 

U

updateHypothesis() - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
updateTransition(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 

V

values() - Method in class de.learnlib.discriminationtree.BooleanMap
 
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