Uses of Class
org.aika.corpus.Document

Packages that use Document

Package	Description
org.aika
org.aika.corpus
org.aika.lattice
org.aika.neuron
org.aika.training

Uses of Document in org.aika

Fields in org.aika declared as Document

Modifier and Type	Field and Description
Document[]	Model.docs

Methods in org.aika that return Document

Modifier and Type	Method and Description
Document	Model.createDocument(String txt)
Document	Model.createDocument(String txt, int threadId)

Methods in org.aika with parameters of type Document

Modifier and Type	Method and Description
static boolean	Converter.convert(Model m, int threadId, Document doc, INeuron neuron, Collection<Synapse> modifiedSynapses)
T	Provider.get(Document doc)

Uses of Document in org.aika.corpus

Fields in org.aika.corpus declared as Document

Modifier and Type	Field and Description
Document	InterpretationNode.doc

Methods in org.aika.corpus with parameters of type Document

Modifier and Type	Method and Description
static InterpretationNode	InterpretationNode.add(Document doc, boolean nonConflicting, InterpretationNode... input)
static InterpretationNode	InterpretationNode.add(Document doc, boolean nonConflicting, List<InterpretationNode> inputs)
static InterpretationNode	InterpretationNode.addPrimitive(Document doc)
int	Document.compareTo(Document doc)
String	SearchNode.pathToString(Document doc)
void	SearchNode.reconstructSelectedResult(Document doc)
static void	SearchNode.searchIterative(Document doc, SearchNode root) Searches for the best interpretation for the given document.
SearchNode.Weight	SearchNode.searchRecursive(Document doc) This algorithm is the recursive version of the interpretation search.
String	SearchNode.toString(Document doc)

Constructors in org.aika.corpus with parameters of type Document

Constructor and Description
InterpretationNode(Document doc, int primId, int id)
InterpretationNode(Document doc, int primId, int id, int length)
InterpretationNode(Document doc, int primId, int id, int length, InterpretationNode.State s)
SearchNode(Document doc, SearchNode selParent, SearchNode exclParent, Candidate c, int level)

Uses of Document in org.aika.lattice

Fields in org.aika.lattice declared as Document

Modifier and Type	Field and Description
Document	NodeActivation.doc

Methods in org.aika.lattice with parameters of type Document

Modifier and Type	Method and Description
void	InputNode.addActivation(Document doc, Activation inputAct)
void	OrNode.addActivation(Document doc, Integer ridOffset, NodeActivation inputAct)
static <T extends Node,A extends NodeActivation<T>> void	Node.addActivation(Document doc, NodeActivation.Key<T> ak, Collection<NodeActivation<?>> inputActs) Add a new activation to this logic node and further propagate this activation through the network.
void	Node.clearActivations(Document doc)
static SortedMap<AndNode.Refinement,Provider<? extends Node>>	AndNode.computeNextLevelParents(Model m, int threadId, Document doc, Node pa, AndNode.Refinement ref, PatternDiscovery.Config config)
Activation	OrNode.createActivation(Document doc, NodeActivation.Key ak)
protected NodeActivation<InputNode>	InputNode.createActivation(Document doc, NodeActivation.Key ak)
protected NodeActivation<AndNode>	AndNode.createActivation(Document doc, NodeActivation.Key ak)
static AndNode	AndNode.createNextLevelNode(Model m, int threadId, Document doc, Node n, AndNode.Refinement ref, PatternDiscovery.Config config)
Collection<A>	Node.getActivations(Document doc)
InterpretationNode	OrNode.lookupOrOption(Document doc, Range r, boolean create)
void	Node.postCreate(Document doc)
void	Node.processChanges(Document doc) Process all added or removed activation for this logic node.
void	OrNode.reprocessInputs(Document doc)
abstract void	Node.reprocessInputs(Document doc)
void	InputNode.reprocessInputs(Document doc)
void	AndNode.reprocessInputs(Document doc)
String	NodeActivation.toString(Document doc)

Constructors in org.aika.lattice with parameters of type Document

Constructor and Description
NodeActivation(int id, Document doc, NodeActivation.Key<T> key)
NodeActivation(int id, Document doc, T n, Range pos, Integer rid, InterpretationNode o)

Uses of Document in org.aika.neuron

Methods in org.aika.neuron with parameters of type Document

Modifier and Type	Method and Description
Activation	Neuron.addInput(Document doc, Activation.Builder inputAct) Propagate an input activation into the network.
Activation	INeuron.addInput(Document doc, Activation.Builder input) Propagate an input activation into the network.
Activation	Neuron.addInput(Document doc, int begin, int end) Propagate an input activation into the network.
Activation	Neuron.addInput(Document doc, int begin, int end, Integer relationalId) Propagate an input activation into the network.
void	Neuron.addSynapse(Document doc, Synapse.Builder input)
void	INeuron.clearActivations(Document doc)
static Activation	Activation.get(Document doc, INeuron n, Integer rid, Range r, Range.Relation rr, InterpretationNode o, InterpretationNode.Relation or)
static Activation	Activation.get(Document doc, INeuron n, NodeActivation.Key ak)
Collection<Activation>	INeuron.getActivations(Document doc)
Stream<Activation>	INeuron.getActivationsStream(Document doc)
Collection<Activation>	INeuron.getAllActivations(Document doc)
Collection<Activation>	Neuron.getFinalActivations(Document doc) getFinalActivations is a convenience method to retrieve all activations of the given neuron that are part of the final interpretation.
Collection<Activation>	INeuron.getFinalActivations(Document doc)
Stream<Activation>	INeuron.getFinalActivationsStream(Document doc) getFinalActivations is a convenience method to retrieve all activations of the given neuron that are part of the final interpretation.
Activation	INeuron.getFirstActivation(Document doc)
boolean	Neuron.init(Document doc, double bias, String activationFunctionKey, INeuron.Type type, Collection<Synapse.Builder> inputs)
static Neuron	Neuron.init(Document doc, Neuron n, double bias, INeuron.Type type, Synapse.Builder... inputs) Creates a neuron with the given bias.
static Neuron	Neuron.init(Document doc, Neuron n, double bias, String activationFunctionKey, INeuron.Type type, Collection<Synapse.Builder> inputs) Initializes a neuron with the given bias.
static Neuron	Neuron.init(Document doc, Neuron n, double bias, String activationFunctionKey, INeuron.Type type, Synapse.Builder... inputs) Creates a neuron with the given bias.
static Stream<Activation>	Activation.select(Document doc, INeuron n, Integer rid, Range r, Range.Relation rr, InterpretationNode o, InterpretationNode.Relation or)
static boolean	INeuron.update(Model m, int threadId, Document doc, Neuron pn, double biasDelta, Collection<Synapse> modifiedSynapses)

Constructors in org.aika.neuron with parameters of type Document

Constructor and Description
Activation(int id, Document doc, NodeActivation.Key key)

Uses of Document in org.aika.training

Fields in org.aika.training declared as Document

Modifier and Type	Field and Description
Document	SupervisedTraining.doc

Methods in org.aika.training with parameters of type Document

Modifier and Type	Method and Description
static void	PatternDiscovery.discover(Document doc, PatternDiscovery.Config config)
static void	LongTermLearning.longTermDepression(Document doc, LongTermLearning.Config config, Activation act, boolean dir) The long-term depression algorithm decreases the strength of a synapse if only one side of the synapse is firing.
static void	LongTermLearning.longTermPotentiation(Document doc, LongTermLearning.Config config, Activation act) The long-term potentiation algorithm is a variant of the Hebb learning rule.
static void	MetaNetwork.train(Document doc)
static void	InterprSupprTraining.train(Document doc, InterprSupprTraining.Config config)
static void	LongTermLearning.train(Document doc, LongTermLearning.Config config)

Constructors in org.aika.training with parameters of type Document

Constructor and Description
SupervisedTraining(Document doc)