Uses of Class
network.aika.Document

Packages that use Document

Package	Description
network.aika
network.aika.lattice
network.aika.neuron
network.aika.neuron.activation
network.aika.neuron.relation
network.aika.training

Uses of Document in network.aika

Fields in network.aika declared as Document

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

Methods in network.aika that return Document

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

Methods in network.aika with parameters of type Document

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

Uses of Document in network.aika.lattice

Fields in network.aika.lattice declared as Document

Modifier and Type	Field and Description
Document	NodeActivation.doc

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

Modifier and Type	Method and Description
void	Node.clearActivations(Document doc)
AndNode.RefValue	OrNode.extend(int threadId, Document doc, AndNode.Refinement ref, PatternDiscovery.Config patterDiscovery)
abstract AndNode.RefValue	Node.extend(int threadId, Document doc, AndNode.Refinement ref, PatternDiscovery.Config patterDiscoveryConfig)
AndNode.RefValue	InputNode.extend(int threadId, Document doc, AndNode.Refinement ref, PatternDiscovery.Config patterDiscoveryConfig)
AndNode.RefValue	AndNode.extend(int threadId, Document doc, AndNode.Refinement firstRef, PatternDiscovery.Config patterDiscoverConfig)
Collection<A>	Node.getActivations(Document doc)
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)

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

Constructor and Description
AndActivation(int id, Document doc, AndNode node)
NodeActivation(int id, Document doc, T node)
OrActivation(int id, Document doc, OrNode node)

Uses of Document in network.aika.neuron

Methods in network.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, Range r) Propagate an input activation into the network.
void	Neuron.addSynapse(Document doc, Synapse.Builder input)
void	INeuron.clearActivations(Document doc)
static Synapse	Synapse.createOrLookup(Document doc, Integer synapseId, Synapse.Key k, Map<Integer,Relation> relations, DistanceFunction distFunc, Neuron inputNeuron, Neuron outputNeuron)
Activation	Neuron.getActivation(Document doc, Range r, boolean onlyFinal)
Activation	INeuron.getActivation(Document doc, Range r, boolean onlyFinal)
Collection<Activation>	Neuron.getActivations(Document doc, boolean onlyFinal) getFinalActivations is a convenience method to retrieve all activations of the given neuron that are part of the final interpretation.
Collection<Activation>	INeuron.getActivations(Document doc, boolean onlyFinal)
boolean	Neuron.init(Document doc, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, List<Synapse.Builder> inputs)
static Neuron	Neuron.init(Document doc, Neuron n, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, List<Synapse.Builder> inputs) Initializes a neuron with the given bias.
static Neuron	Neuron.init(Document doc, Neuron n, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, Synapse.Builder... inputs) Creates a neuron with the given bias.
static Neuron	Neuron.init(Document doc, Neuron n, double bias, INeuron.Type type, INeuron.LogicType logicType, Synapse.Builder... inputs) Creates a neuron with the given bias.
void	Synapse.update(Document doc, double weight, double bias)
static boolean	INeuron.update(int threadId, Document doc, Neuron pn, Double bias, Collection<Synapse> modifiedSynapses)
void	Synapse.updateDelta(Document doc, double weightDelta, double biasDelta)

Uses of Document in network.aika.neuron.activation

Methods in network.aika.neuron.activation with parameters of type Document

Modifier and Type	Method and Description
static void	SearchNode.search(Document doc, SearchNode root, long v, Long timeoutInMilliSeconds) Searches for the best interpretation for the given document.

Constructors in network.aika.neuron.activation with parameters of type Document

Constructor and Description
Activation(int id, Document doc, OrNode n)
Activation(int id, Document doc, Range r, OrNode n)
Linker(Document doc)
SearchNode(Document doc, SearchNode selParent, SearchNode exclParent, int level)

Uses of Document in network.aika.neuron.relation

Methods in network.aika.neuron.relation with parameters of type Document

Modifier and Type	Method and Description
static Collection<Activation>	RangeRelation.getActivationsByRangeEquals(Document doc, Range r, Range.Relation rr)

Uses of Document in network.aika.training

Fields in network.aika.training declared as Document

Modifier and Type	Field and Description
Document	SupervisedTraining.doc

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

Modifier and Type	Method and Description
static void	PatternDiscovery.discover(Document doc, PatternDiscovery.Config config)

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

Constructor and Description
SupervisedTraining(Document doc)