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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
A
B
C
D
E
F
G
H
I
K
L
M
N
P
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