A B C D E F G H I J L M N O P Q R S T U V W X Y

A

AcceptedSignal - Class in org.encog.parse

A signal that has been accepted by the parser.

AcceptedSignal(String, String) - Constructor for class org.encog.parse.AcceptedSignal

accumulateMatrixDelta(int, int, double) - Method in class org.encog.neural.networks.training.propagation.PropagationSynapse

Accumulate a matrix delta.

accumulateThresholdGradient(int, double) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Call this method to accumulate the threshold gradients during a batch.

ActivationBiPolar - Class in org.encog.neural.activation

BiPolar activation function.

ActivationBiPolar() - Constructor for class org.encog.neural.activation.ActivationBiPolar

ActivationBiPolarPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationBiPolar class.

ActivationBiPolarPersistor() - Constructor for class org.encog.persist.persistors.ActivationBiPolarPersistor

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationBiPolar

Implements the activation function.

ActivationFunction - Interface in org.encog.neural.activation

This interface allows various activation functions to be used with the neural network.

activationFunction(double[]) - Method in interface org.encog.neural.activation.ActivationFunction

Implements the activation function.

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationGaussian

Implements the activation function.

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationLinear

Implements the activation function.

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationLOG

Implements the activation function.

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationSigmoid

Implements the activation function.

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationSIN

Implements the activation function.

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationSoftMax

Implements the activation function.

activationFunction(double[]) - Method in class org.encog.neural.activation.ActivationTANH

Implements the activation function.

ActivationGaussian - Class in org.encog.neural.activation

An activation function based on the gaussian function.

ActivationGaussian(double, double, double) - Constructor for class org.encog.neural.activation.ActivationGaussian

Create a gaussian activation function.

ActivationGaussianPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationGaussian class.

ActivationGaussianPersistor() - Constructor for class org.encog.persist.persistors.ActivationGaussianPersistor

ActivationLinear - Class in org.encog.neural.activation

The Linear layer is really not an activation function at all.

ActivationLinear() - Constructor for class org.encog.neural.activation.ActivationLinear

ActivationLinearPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationLinear class.

ActivationLinearPersistor() - Constructor for class org.encog.persist.persistors.ActivationLinearPersistor

ActivationLOG - Class in org.encog.neural.activation

An activation function based on the logrithm function.

ActivationLOG() - Constructor for class org.encog.neural.activation.ActivationLOG

ActivationLOGPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationLOG class.

ActivationLOGPersistor() - Constructor for class org.encog.persist.persistors.ActivationLOGPersistor

ActivationSigmoid - Class in org.encog.neural.activation

The sigmoid activation function takes on a sigmoidal shape.

ActivationSigmoid() - Constructor for class org.encog.neural.activation.ActivationSigmoid

ActivationSigmoidPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationSigmoid class.

ActivationSigmoidPersistor() - Constructor for class org.encog.persist.persistors.ActivationSigmoidPersistor

ActivationSIN - Class in org.encog.neural.activation

An activation function based on the sin function.

ActivationSIN() - Constructor for class org.encog.neural.activation.ActivationSIN

ActivationSINPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationSIN class.

ActivationSINPersistor() - Constructor for class org.encog.persist.persistors.ActivationSINPersistor

ActivationSoftMax - Class in org.encog.neural.activation

The softmax activation function.

ActivationSoftMax() - Constructor for class org.encog.neural.activation.ActivationSoftMax

ActivationSoftMaxPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationSoftMax class.

ActivationSoftMaxPersistor() - Constructor for class org.encog.persist.persistors.ActivationSoftMaxPersistor

ActivationTANH - Class in org.encog.neural.activation

The hyperbolic tangent activation function takes the curved shape of the hyperbolic tangent.

ActivationTANH() - Constructor for class org.encog.neural.activation.ActivationTANH

ActivationTANHPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationTANH class.

ActivationTANHPersistor() - Constructor for class org.encog.persist.persistors.ActivationTANHPersistor

ActivationUtil - Class in org.encog.neural.activation

Utility classes for activation functions.

add(int, int, double) - Method in class org.encog.matrix.Matrix

Add a value to one cell in the matrix.

add(Matrix) - Method in class org.encog.matrix.Matrix

Add the specified matrix to this matrix.

add(Matrix, Matrix) - Static method in class org.encog.matrix.MatrixMath

Add two matrixes.

add(NeuralData) - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Add input to the training set with no expected output.

add(NeuralData, NeuralData) - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Add input and expected output.

add(NeuralDataPair) - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Add a neural data pair to the list.

add(NeuralData) - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

Adds are not supported.

add(NeuralData, NeuralData) - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

Adds are not supported.

add(NeuralDataPair) - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

Adds are not supported.

add(NeuralData) - Method in class org.encog.neural.data.image.ImageNeuralDataSet

Add the specified data, must be an ImageNeuralData class.

add(NeuralData, NeuralData) - Method in class org.encog.neural.data.image.ImageNeuralDataSet

Add the specified input and ideal object to the collection.

add(NeuralDataPair) - Method in class org.encog.neural.data.image.ImageNeuralDataSet

Add input and expected output.

add(NeuralData) - Method in interface org.encog.neural.data.NeuralDataSet

Add a NeuralData object to the dataset.

add(NeuralData, NeuralData) - Method in interface org.encog.neural.data.NeuralDataSet

Add a set of input and ideal data to the dataset.

add(NeuralDataPair) - Method in interface org.encog.neural.data.NeuralDataSet

Add a NeuralData object to the dataset.

add(NeuralData) - Method in class org.encog.neural.data.sql.SQLNeuralDataSet

Adds are not supported.

add(NeuralData, NeuralData) - Method in class org.encog.neural.data.sql.SQLNeuralDataSet

Adds are not supported.

add(NeuralDataPair) - Method in class org.encog.neural.data.sql.SQLNeuralDataSet

Adds are not supported.

add(NeuralData) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Adding directly is not supported.

add(NeuralData, NeuralData) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Adding directly is not supported.

add(NeuralDataPair) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Adding directly is not supported.

add(NeuralData) - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

Adds are not supported, this is a read only data set.

add(NeuralData, NeuralData) - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

Adds are not supported, this is a read only data set.

add(NeuralDataPair) - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

Adds are not supported, this is a read only data set.

add(Relation) - Method in class org.encog.nlp.memory.RelationHolder

add(RelationHolder) - Method in class org.encog.nlp.memory.RelationHolder

add(RecognizeElement) - Method in class org.encog.parse.recognize.Recognize

add(char) - Method in class org.encog.parse.recognize.RecognizeElement

add(Signal) - Method in class org.encog.parse.signal.Signal

add(String, EncogPersistedObject) - Method in class org.encog.persist.EncogPersistedCollection

Add an EncogPersistedObject to the collection.

add(String, File) - Method in class org.encog.util.http.FormUtility

Add a file to a multipart form.

add(String, String) - Method in class org.encog.util.http.FormUtility

Add a regular text field to either a regular or multipart form.

ADD_NOT_SUPPORTED - Static variable in class org.encog.neural.data.csv.CSVNeuralDataSet

Error message indicating that adds are not supported.

ADD_NOT_SUPPORTED - Static variable in class org.encog.neural.data.sql.SQLNeuralDataSet

Error message: adds are not supported.

ADD_NOT_SUPPORTED - Static variable in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Error message: adds are not supported.

ADD_NOT_SUPPORTED - Static variable in class org.encog.neural.data.xml.XMLNeuralDataSet

Error Message: adds are not supported.

addAcceptedSignal(String, String) - Method in class org.encog.parse.recognize.RecognizeElement

addAttribute(String, String) - Method in class org.encog.parse.tags.write.WriteTags

Add an attribute to be written with the next tag.

addCDATA(String) - Method in class org.encog.parse.tags.write.WriteTags

Add CDATA to the output stream.

addContent(DocumentRange) - Method in class org.encog.bot.browse.WebPage

Add to the content collection.

addDataUnit(DataUnit) - Method in class org.encog.bot.browse.WebPage

Add a data unit to the collection.

addDescription(TemporalDataDescription) - Method in class org.encog.neural.data.market.MarketNeuralDataSet

Add one description of the type of market data that we are seeking at each datapoint.

addDescription(TemporalDataDescription) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Add a data description.

addElement(DocumentRange) - Method in class org.encog.bot.browse.range.DocumentRange

Add an element.

addFix(String, boolean, WordType) - Method in class org.encog.nlp.lexicon.EncogLexicon

addHiddenLayer(int) - Method in class org.encog.neural.pattern.ElmanPattern

Add a hidden layer with the specified number of neurons.

addHiddenLayer(int) - Method in class org.encog.neural.pattern.FeedForwardPattern

Add a hidden layer, with the specified number of neurons.

addHiddenLayer(int) - Method in class org.encog.neural.pattern.HopfieldPattern

Add a hidden layer.

addHiddenLayer(int) - Method in class org.encog.neural.pattern.JordanPattern

Add a hidden layer, there should be only one.

addHiddenLayer(int) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern

Add the specified hidden layer.

addHiddenLayer(int) - Method in class org.encog.neural.pattern.RadialBasisPattern

Add the hidden layer, this should be called once, as a RBF has a single hidden layer.

addHiddenLayer(int) - Method in class org.encog.neural.pattern.RSOMPattern

Add a hidden layer.

addHiddenLayer(int) - Method in class org.encog.neural.pattern.SOMPattern

Add a hidden layer.

addHiddenLayer(int, int) - Method in class org.encog.neural.prune.PruneIncremental

Add a hidden layer's min and max.

addLayer(Layer) - Method in class org.encog.neural.networks.BasicNetwork

Add a layer to the neural network.

addLayer(Layer, SynapseType) - Method in class org.encog.neural.networks.BasicNetwork

Add a layer to the neural network.

addLayer(Layer) - Method in interface org.encog.neural.networks.Network

Add a layer to the neural network.

addLayer(Layer, SynapseType) - Method in interface org.encog.neural.networks.Network

Add a layer to the neural network.

addListener(ExtractListener) - Method in class org.encog.bot.browse.extract.BasicExtract

Add a listener for the extraction.

addListener(ExtractListener) - Method in interface org.encog.bot.browse.extract.Extract

Add a listener for the extraction.

addNext(Layer) - Method in class org.encog.neural.networks.layers.BasicLayer

Add a layer as the next layer.

addNext(Layer, SynapseType) - Method in class org.encog.neural.networks.layers.BasicLayer

addNext(Layer) - Method in interface org.encog.neural.networks.layers.Layer

Add a layer to this layer.

addNext(Layer, SynapseType) - Method in interface org.encog.neural.networks.layers.Layer

Add a layer to this layer.

addProperty(String, double) - Method in class org.encog.parse.tags.write.WriteTags

Add a property as a double.

addProperty(String, int) - Method in class org.encog.parse.tags.write.WriteTags

Add a property as an integer.

addProperty(String, String) - Method in class org.encog.parse.tags.write.WriteTags

Add a property as a string.

addRange(char, char) - Method in class org.encog.parse.recognize.RecognizeElement

addRecognizer(Recognize) - Method in class org.encog.parse.ParseTemplate

addRelation(Concept, Concept, Concept) - Method in class org.encog.nlp.memory.LongTermMemory

addRelation(String, Concept, Concept) - Method in class org.encog.nlp.memory.LongTermMemory

addRelation(RelationHolder) - Method in class org.encog.nlp.memory.LongTermMemory

addRelation(Relation) - Method in class org.encog.nlp.reason.EvaluateText

Address - Class in org.encog.bot.browse

A URL address.

Address(URL) - Constructor for class org.encog.bot.browse.Address

Construct the address from a URL.

Address(URL, String) - Constructor for class org.encog.bot.browse.Address

Construct a URL using a perhaps relative URL and a base URL.

addStrategy(Strategy) - Method in class org.encog.neural.networks.training.BasicTraining

Training strategies can be added to improve the training results.

addStrategy(Strategy) - Method in interface org.encog.neural.networks.training.Train

Training strategies can be added to improve the training results.

addSynapse(Synapse) - Method in class org.encog.neural.networks.layers.BasicLayer

Add a synapse to the list of outbound synapses.

addSynapse(Synapse) - Method in interface org.encog.neural.networks.layers.Layer

This method adds a synapse to the neural network.

addText(String) - Method in class org.encog.parse.tags.write.WriteTags

Add text.

addType(Word, WordType) - Method in class org.encog.nlp.lexicon.EncogLexicon

addType(String, WordType) - Method in class org.encog.nlp.lexicon.EncogLexicon

addType(String) - Method in class org.encog.parse.signal.Signal

addURL(URL, WorkloadItem) - Method in class org.encog.bot.spider.Spider

Add a URL to the spider for processing.

addWordType(String) - Method in class org.encog.nlp.lexicon.EncogLexicon

addWordUse(Word) - Method in class org.encog.nlp.lexicon.data.Lemma

advance(String) - Method in class org.encog.persist.PersistReader

Advance to the specified object.

advanceObjectsCollection() - Method in class org.encog.persist.PersistReader

Advance to the objects collection.

Alias - Class in org.encog.nlp.lexicon.data

Note: This class is part of the Encog Natural Language Processing(NLP) package.

Alias() - Constructor for class org.encog.nlp.lexicon.data.Alias

AliasConcept - Class in org.encog.nlp.memory

An alias concept is a concept holder.

AliasConcept() - Constructor for class org.encog.nlp.memory.AliasConcept

Creates a new instance of AliasConcept

allConsoleLogging() - Static method in class org.encog.util.logging.Logging

Log everything to the console.

ALLOW_MULTIPLE - Static variable in class org.encog.parse.recognize.RecognizeElement

ALLOW_ONE - Static variable in class org.encog.parse.recognize.RecognizeElement

arrayToNetwork(Double[], BasicNetwork) - Static method in class org.encog.neural.networks.NetworkCODEC

Use an array to populate the memory of the neural network.

ATTRIBUTE_CENTER - Static variable in class org.encog.persist.persistors.ActivationGaussianPersistor

THe center attribute.

ATTRIBUTE_DESCRIPTION - Static variable in class org.encog.persist.EncogPersistedCollection

The description attribute.

ATTRIBUTE_FROM - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The from attribute.

ATTRIBUTE_ID - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The id attribute.

ATTRIBUTE_MATRIX_COLS - Static variable in class org.encog.persist.persistors.PersistorUtil

The columns in the matrix.

ATTRIBUTE_MATRIX_ROWS - Static variable in class org.encog.persist.persistors.PersistorUtil

The rows in the matrix.

ATTRIBUTE_NAME - Static variable in class org.encog.persist.EncogPersistedCollection

The name attribute.

ATTRIBUTE_NAME - Static variable in class org.encog.persist.persistors.PropertyDataPersistor

The name attribute.

ATTRIBUTE_NAME - Static variable in class org.encog.persist.PersistReader

The name attribute.

ATTRIBUTE_PEAK - Static variable in class org.encog.persist.persistors.ActivationGaussianPersistor

The peak attribute.

ATTRIBUTE_TO - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The to attribute.

ATTRIBUTE_TYPE - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The type attribute.

ATTRIBUTE_TYPE_BOTH - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The both layer type.

ATTRIBUTE_TYPE_HIDDEN - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The hidden layer type.

ATTRIBUTE_TYPE_INPUT - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The input layer type.

ATTRIBUTE_TYPE_OUTPUT - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The output layer type.

ATTRIBUTE_TYPE_UNKNOWN - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The unknown layer type.

ATTRIBUTE_VALUE - Static variable in class org.encog.persist.persistors.PropertyDataPersistor

The value attribute.

ATTRIBUTE_WIDTH - Static variable in class org.encog.persist.persistors.ActivationGaussianPersistor

The width attribute.

B

Backpropagation - Class in org.encog.neural.networks.training.propagation.back

This class implements a backpropagation training algorithm for feed forward neural networks.

Backpropagation(BasicNetwork, NeuralDataSet) - Constructor for class org.encog.neural.networks.training.propagation.back.Backpropagation

Create a class to train using backpropagation.

Backpropagation(BasicNetwork, NeuralDataSet, double, double) - Constructor for class org.encog.neural.networks.training.propagation.back.Backpropagation

BackpropagationMethod - Class in org.encog.neural.networks.training.propagation.back

This class implements the specifics of how the backpropagation algorithm is used.

BackpropagationMethod() - Constructor for class org.encog.neural.networks.training.propagation.back.BackpropagationMethod

backwardPass(NeuralData) - Method in class org.encog.neural.networks.training.propagation.Propagation

Calculate the error for the recognition just done.

BASE_WEIGHT - Static variable in class org.encog.parse.units.UnitManager

The base weight.

BasicActivationFunction - Class in org.encog.neural.activation

Holds basic functionality that all activation functions will likely have use of.

BasicActivationFunction() - Constructor for class org.encog.neural.activation.BasicActivationFunction

BasicExtract - Class in org.encog.bot.browse.extract

Implements the basic functionality that most extractors will need to implement.

BasicExtract() - Constructor for class org.encog.bot.browse.extract.BasicExtract

BasicLayer - Class in org.encog.neural.networks.layers

Basic functionality that most of the neural layers require.

BasicLayer() - Constructor for class org.encog.neural.networks.layers.BasicLayer

Default constructor, mainly so the workbench can easily create a default layer.

BasicLayer(ActivationFunction, boolean, int) - Constructor for class org.encog.neural.networks.layers.BasicLayer

Construct this layer with a non-default threshold function.

BasicLayer(int) - Constructor for class org.encog.neural.networks.layers.BasicLayer

Construct this layer with a sigmoid threshold function.

BasicLayerPersistor - Class in org.encog.persist.persistors

Provides basic functions that many of the persistors will need.

BasicLayerPersistor() - Constructor for class org.encog.persist.persistors.BasicLayerPersistor

BasicNetwork - Class in org.encog.neural.networks

This class implements a neural network.

BasicNetwork() - Constructor for class org.encog.neural.networks.BasicNetwork

Construct an empty neural network.

BasicNetworkPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the BasicNetwork class.

BasicNetworkPersistor() - Constructor for class org.encog.persist.persistors.BasicNetworkPersistor

BasicNeuralData - Class in org.encog.neural.data.basic

Basic implementation of the NeuralData interface that stores the data in an array.

BasicNeuralData(double[]) - Constructor for class org.encog.neural.data.basic.BasicNeuralData

Construct this object with the specified data.

BasicNeuralData(NeuralData) - Constructor for class org.encog.neural.data.basic.BasicNeuralData

Construct a new BasicNeuralData object from an existing one.

BasicNeuralData(int) - Constructor for class org.encog.neural.data.basic.BasicNeuralData

Construct this object with blank data and a specified size.

BasicNeuralDataPair - Class in org.encog.neural.data.basic

A basic implementation of the NeuralDataPair interface.

BasicNeuralDataPair(NeuralData) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataPair

Construct the object with only input.

BasicNeuralDataPair(NeuralData, NeuralData) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataPair

Construct a BasicNeuralDataPair class with the specified input and ideal values.

BasicNeuralDataSet - Class in org.encog.neural.data.basic

Basic implementation of the NeuralDataSet class.

BasicNeuralDataSet() - Constructor for class org.encog.neural.data.basic.BasicNeuralDataSet

Default constructor.

BasicNeuralDataSet(double[][], double[][]) - Constructor for class org.encog.neural.data.basic.BasicNeuralDataSet

Construct a data set from an input and idea array.

BasicNeuralDataSet.BasicNeuralIterator - Class in org.encog.neural.data.basic

An iterator to be used with the BasicNeuralDataSet.

BasicNeuralDataSet.BasicNeuralIterator() - Constructor for class org.encog.neural.data.basic.BasicNeuralDataSet.BasicNeuralIterator

BasicNeuralDataSetPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationBiPolar class.

BasicNeuralDataSetPersistor() - Constructor for class org.encog.persist.persistors.BasicNeuralDataSetPersistor

BasicRandomizer - Class in org.encog.util.randomize

Provides basic functionality that most randomizers will need.

BasicRandomizer() - Constructor for class org.encog.util.randomize.BasicRandomizer

BasicSynapse - Class in org.encog.neural.networks.synapse

An abstract class that implements basic functionality that may be needed by the other synapse classes.

BasicSynapse() - Constructor for class org.encog.neural.networks.synapse.BasicSynapse

BasicTraining - Class in org.encog.neural.networks.training

An abstract class that implements basic training for most training algorithms.

BasicTraining() - Constructor for class org.encog.neural.networks.training.BasicTraining

begin() - Method in class org.encog.persist.PersistWriter

Begin an Encog document.

begin() - Method in class org.encog.util.orm.ORMSession

Begin the transaction.

beginDocument() - Method in class org.encog.parse.tags.write.WriteTags

Called to begin the document.

beginEncogObject(String, WriteXML, EncogPersistedObject, boolean) - Static method in class org.encog.persist.persistors.PersistorUtil

Write the beginning XML for an Encog object.

beginObjects() - Method in class org.encog.persist.PersistWriter

Begin the objects collection.

beginQuestion(String) - Method in class org.encog.nlp.reason.ParseActions

beginTag(String) - Method in class org.encog.parse.tags.write.WriteTags

Begin a tag with the specified name.

bipolar2double(boolean) - Static method in class org.encog.matrix.BiPolarUtil

Convert a boolean to a bipolar number.

bipolar2double(boolean[]) - Static method in class org.encog.matrix.BiPolarUtil

Convert a boolean array to a bipolar array.

bipolar2double(boolean[][]) - Static method in class org.encog.matrix.BiPolarUtil

BiPolarNeuralData - Class in org.encog.neural.data.bipolar

A NeuralData implementation designed to work with bipolar data.

BiPolarNeuralData(boolean[]) - Constructor for class org.encog.neural.data.bipolar.BiPolarNeuralData

Construct this object with the specified data.

BiPolarNeuralData(int) - Constructor for class org.encog.neural.data.bipolar.BiPolarNeuralData

Construct a data object with the specified size.

BiPolarUtil - Class in org.encog.matrix

This class contains a number of utility methods used to work with bipolar numbers.

BotError - Exception in org.encog.bot

Used to represent any error that occurs in the bot part of Encog.

BotError(String) - Constructor for exception org.encog.bot.BotError

Construct a message exception.

BotError(Throwable) - Constructor for exception org.encog.bot.BotError

Construct an exception that holds another exception.

bound(double) - Static method in class org.encog.util.math.BoundNumbers

Bound the number so that it does not become too big or too small.

BoundMath - Class in org.encog.util.math

Java will sometimes return Math.NaN or Math.Infinity when numbers get to large or too small.

BoundNumbers - Class in org.encog.util.math

A simple class that prevents numbers from getting either too big or too small.

BrowseError - Exception in org.encog.bot.browse

Thrown when any sort of error related to web browsing is encountered.

BrowseError(String) - Constructor for exception org.encog.bot.browse.BrowseError

Construct a message exception.

BrowseError(Throwable) - Constructor for exception org.encog.bot.browse.BrowseError

Construct an exception that holds another exception.

Browser - Class in org.encog.bot.browse

The main class for web browsing.

Browser() - Constructor for class org.encog.bot.browse.Browser

BUFFER_SIZE - Static variable in class org.encog.util.Directory

Default buffer size for read/write operations.

BUFFER_SIZE - Static variable in class org.encog.util.http.FormUtility

The size of the read buffer.

buildDirectory() - Method in class org.encog.persist.EncogPersistedCollection

Build a directory of objects.

buildDirectory() - Method in class org.encog.persist.PersistReader

Build a directory entry list for the file.

C

calculate(double) - Method in class org.encog.util.math.rbf.GaussianFunction

Calculate the value of the Gaussian function for the specified value.

calculate(double) - Method in interface org.encog.util.math.rbf.RadialBasisFunction

Calculate the RBF result for the specified value.

calculateActualSetSize() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Calculate the actual set size, this is the number of training set entries that will be generated.

calculateCost() - Method in class org.encog.neural.networks.training.genetic.TrainingSetNeuralChromosome

Calculate the cost for this chromosome.

calculateCost() - Method in class org.encog.solve.genetic.Chromosome

Called to calculate the cost for this chromosome.

calculateDerivative(double) - Method in class org.encog.util.math.rbf.GaussianFunction

Calculate the value of the derivative of the Gaussian function for the specified value.

calculateDerivative(double) - Method in interface org.encog.util.math.rbf.RadialBasisFunction

Calculate the derivative of the RBF function.

calculateError(NeuralDataSet) - Method in class org.encog.neural.networks.BasicNetwork

Calculate the error for this neural network.

calculateError(NeuralDataSet) - Method in interface org.encog.neural.networks.Network

Calculate the error for this neural network.

calculateError(NeuralOutputHolder, PropagationLevel, PropagationLevel) - Method in class org.encog.neural.networks.training.propagation.back.BackpropagationMethod

Calculate the error between these two levels.

calculateError(NeuralOutputHolder, PropagationLevel, PropagationLevel) - Method in class org.encog.neural.networks.training.propagation.CalculatePartialDerivative

Calculate the partial derivative of the error for a layer.

calculateError(NeuralOutputHolder, PropagationLevel, PropagationLevel) - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagationMethod

Calculate the error between these two levels.

calculateError(NeuralOutputHolder, PropagationLevel, PropagationLevel) - Method in interface org.encog.neural.networks.training.propagation.PropagationMethod

Calculate the error between these two levels.

calculateError(NeuralOutputHolder, PropagationLevel, PropagationLevel) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagationMethod

Calculate the error between these two levels.

calculateFactors(NeuralData) - Method in class org.encog.util.NormalizeInput

Determine both the normalization factor and the synthetic input for the given input.

calculateNeuronCount() - Method in class org.encog.neural.networks.BasicNetwork

Calculate the total number of neurons in the network across all layers.

calculateNeuronCount() - Method in interface org.encog.neural.networks.Network

Calculate the total number of neurons in the network across all layers.

calculateNeuronCounts() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Calculate how many input and output neurons will be needed for the current data.

CalculatePartialDerivative - Class in org.encog.neural.networks.training.propagation

Class that is used to calculate the partial derivatives for the error for individual layers of a neural network.

CalculatePartialDerivative() - Constructor for class org.encog.neural.networks.training.propagation.CalculatePartialDerivative

calculatePointsInRange() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Calculate how many points are in the high and low range.

calculateRMS() - Method in class org.encog.util.ErrorCalculation

Returns the root mean square error for a complete training set.

calculateStartIndex() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Calculate the index to start at.

CDATA_BEGIN - Static variable in class org.encog.parse.tags.TagConst

The beginning of a CDATA section.

CDATA_END - Static variable in class org.encog.parse.tags.TagConst

THe end of a CDATA section.

changeNeuronCount(Layer, int) - Method in class org.encog.neural.prune.PruneSelective

Change the neuron count for the network.

CHAR_BULLET - Static variable in class org.encog.parse.tags.read.ReadTags

The bullet character.

CHAR_TRADEMARK - Static variable in class org.encog.parse.tags.read.ReadTags

The bullet character.

checkInputSize(NeuralData) - Method in class org.encog.neural.networks.BasicNetwork

Check that the input size is acceptable, if it does not match the input layer, then throw an error.

checkInputSize(NeuralData) - Method in interface org.encog.neural.networks.Network

Check that the input size is acceptable, if it does not match the input layer, then throw an error.

Chromosome<GENE_TYPE> - Class in org.encog.solve.genetic

Implements a chromosome to genetic algorithm.

Chromosome() - Constructor for class org.encog.solve.genetic.Chromosome

clear() - Method in class org.encog.matrix.Matrix

Set all rows and columns to zero.

clear() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Clear the entire dataset.

clear() - Method in class org.encog.nlp.memory.RelationHolder

clear() - Method in class org.encog.parse.signal.Signal

clear() - Method in class org.encog.parse.tags.Tag

Clear the name, type and attributes.

clear() - Method in class org.encog.persist.EncogPersistedCollection

Clear the collection.

clear() - Method in class org.encog.util.orm.ORMSession

Clear the Hibernate session.

clearShouldReplace() - Method in class org.encog.nlp.memory.RelationHolder

clone() - Method in class org.encog.matrix.Matrix

Create a copy of the matrix.

clone() - Method in class org.encog.neural.activation.ActivationBiPolar

clone() - Method in class org.encog.neural.activation.ActivationGaussian

clone() - Method in class org.encog.neural.activation.ActivationLinear

clone() - Method in class org.encog.neural.activation.ActivationLOG

clone() - Method in class org.encog.neural.activation.ActivationSigmoid

clone() - Method in class org.encog.neural.activation.ActivationSIN

clone() - Method in class org.encog.neural.activation.ActivationSoftMax

clone() - Method in class org.encog.neural.activation.ActivationTANH

clone() - Method in class org.encog.neural.activation.BasicActivationFunction

clone() - Method in class org.encog.neural.data.basic.BasicNeuralData

clone() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

clone() - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

clone() - Method in interface org.encog.neural.data.NeuralData

Clone this object.

clone() - Method in class org.encog.neural.data.PropertyData

Clone this object.

clone() - Method in class org.encog.neural.data.TextData

Clone this object.

clone() - Method in class org.encog.neural.networks.BasicNetwork

Return a clone of this neural network.

clone() - Method in class org.encog.neural.networks.layers.BasicLayer

Clone this object.

clone() - Method in interface org.encog.neural.networks.layers.Layer

clone() - Method in interface org.encog.neural.networks.Network

Return a clone of this neural network.

clone() - Method in class org.encog.neural.networks.synapse.BasicSynapse

clone() - Method in class org.encog.neural.networks.synapse.DirectSynapse

clone() - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

clone() - Method in interface org.encog.neural.networks.synapse.Synapse

clone() - Method in class org.encog.neural.networks.synapse.WeightedSynapse

clone() - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

clone() - Method in class org.encog.parse.ParseTemplate

clone() - Method in class org.encog.parse.tags.Tag

clone() - Method in interface org.encog.persist.EncogPersistedObject

close() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Close this data set.

close() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

Close any iterators from this dataset.

close() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet.CSVNeuralIterator

Close the iterator, and the underlying CSV file.

close() - Method in interface org.encog.neural.data.NeuralDataSet

Close this datasource and release any resources obtained by it, including any iterators created.

close() - Method in class org.encog.neural.data.sql.SQLNeuralDataSet

Close the SQL connection.

close() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

Close the XML data source.

close() - Method in class org.encog.parse.tags.write.WriteTags

Close this object.

close() - Method in class org.encog.persist.PersistReader

Close the file.

close() - Method in class org.encog.persist.PersistWriter

Close the writer.

close() - Method in class org.encog.util.orm.ORMSession

Close the session.

close() - Method in class org.encog.util.ReadCSV

Close the file.

code(TimeUnit) - Method in class org.encog.util.time.EnglishTimeUnitNames

Get the code for a TimeUnit.

code(TimeUnit) - Method in interface org.encog.util.time.TimeUnitNames

Get the code for the specified time unit.

CodeDataUnit - Class in org.encog.bot.dataunit

A data unit that holds code.

CodeDataUnit() - Constructor for class org.encog.bot.dataunit.CodeDataUnit

COMMENT_BEGIN - Static variable in class org.encog.parse.tags.TagConst

The beginning of a comment.

COMMENT_END - Static variable in class org.encog.parse.tags.TagConst

The end of a comment.

commit() - Method in class org.encog.util.orm.ORMSession

Commit the transaction.

compareConcept(Concept, Concept) - Method in class org.encog.nlp.reason.Reason

compareLayer(Layer, Layer, int) - Method in class org.encog.neural.networks.BasicNetwork

Used to compare one neural network to another, compare two layers.

compareLayer(Layer, Layer, int) - Method in interface org.encog.neural.networks.Network

Used to compare one neural network to another, compare two layers.

compareRelation(Relation, Relation) - Method in class org.encog.nlp.reason.Reason

compareSingle(String, String) - Static method in class org.encog.nlp.memory.Concept

compareTo(TemporalPoint) - Method in class org.encog.neural.data.temporal.TemporalPoint

Compare two temporal points.

compareTo(Chromosome<GENE_TYPE>) - Method in class org.encog.solve.genetic.Chromosome

Used to compare two chromosomes.

CompetitiveTraining - Class in org.encog.neural.networks.training.competitive

This class implements competitive training, which would be used in a winner-take-all neural network, such as the self organizing map (SOM).

CompetitiveTraining(BasicNetwork, double, NeuralDataSet, NeighborhoodFunction) - Constructor for class org.encog.neural.networks.training.competitive.CompetitiveTraining

Create an instance of competitive training.

complete() - Method in class org.encog.util.http.FormUtility

Complete the building of the form.

compute(NeuralData) - Method in class org.encog.neural.networks.BasicNetwork

Compute the output for a given input to the neural network.

compute(NeuralData, NeuralOutputHolder) - Method in class org.encog.neural.networks.BasicNetwork

Compute the output for a given input to the neural network.

compute(NeuralData) - Method in class org.encog.neural.networks.layers.BasicLayer

Compute the outputs for this layer given the input pattern.

compute(NeuralData) - Method in interface org.encog.neural.networks.layers.Layer

Compute the output for this layer.

compute(NeuralData) - Method in class org.encog.neural.networks.layers.RadialBasisFunctionLayer

Compute the values before sending output to the next layer.

compute(NeuralData) - Method in interface org.encog.neural.networks.Network

Compute the output for a given input to the neural network.

compute(NeuralData, NeuralOutputHolder) - Method in interface org.encog.neural.networks.Network

Compute the output for a given input to the neural network.

compute(NeuralData) - Method in class org.encog.neural.networks.synapse.DirectSynapse

Compute the output from this synapse.

compute(NeuralData) - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

Compute the output from this synapse.

compute(NeuralData) - Method in interface org.encog.neural.networks.synapse.Synapse

Compute the output from this synapse.

compute(NeuralData) - Method in class org.encog.neural.networks.synapse.WeightedSynapse

Compute the weighted output from this synapse.

compute(NeuralData) - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

Compute the weightless output from this synapse.

Concept - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

Concept() - Constructor for class org.encog.nlp.memory.Concept

Creates a new instance of Concept

CONCEPT_CREATE - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_HAS - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_OF - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_SUBTYPE - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_SUPERTYPE - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_WTYPE_ACTION - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_WTYPE_NODE - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_WTYPE_QUESTION_EMBED - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_WTYPE_QUESTION_SIMPLE - Static variable in class org.encog.nlp.memory.ConstConcept

CONCEPT_WTYPE_SPLIT - Static variable in class org.encog.nlp.memory.ConstConcept

ConceptHolder - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

ConceptHolder() - Constructor for class org.encog.nlp.memory.ConceptHolder

Creates a new instance of LongConceptHolder

ConceptNotFoundError - Exception in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

ConceptNotFoundError(String) - Constructor for exception org.encog.nlp.memory.ConceptNotFoundError

Construct a message exception.

ConceptNotFoundError(Throwable) - Constructor for exception org.encog.nlp.memory.ConceptNotFoundError

Construct an exception that holds another exception.

ConstConcept - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

constructURL(URL, String, boolean) - Static method in class org.encog.util.http.URLUtility

Construct a URL from its basic parts.

contains(Relation) - Method in class org.encog.nlp.memory.RelationHolder

containsInvalidURLCharacters(String) - Static method in class org.encog.util.http.URLUtility

Returns true if the URL contains any invalid characters.

ContextLayer - Class in org.encog.neural.networks.layers

Implements a context layer.

ContextLayer() - Constructor for class org.encog.neural.networks.layers.ContextLayer

Default constructor, mainly so the workbench can easily create a default layer.

ContextLayer(ActivationFunction, boolean, int) - Constructor for class org.encog.neural.networks.layers.ContextLayer

Construct a context layer with the parameters specified.

ContextLayer(int) - Constructor for class org.encog.neural.networks.layers.ContextLayer

Construct a default context layer that has the TANH activation function and the specified number of neurons.

ContextLayerPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ContextLayer class.

ContextLayerPersistor() - Constructor for class org.encog.persist.persistors.ContextLayerPersistor

convert(double) - Method in class org.encog.parse.units.UnitConversion

Perform the conversion.

convert(String, String, double) - Method in class org.encog.parse.units.UnitManager

Convert the specified unit.

Convert - Class in org.encog.util.math

This class is used to convert strings into numeric values.

convertFilename(String, URL, boolean) - Static method in class org.encog.util.http.URLUtility

Convert a filename for local storage.

convertURL(String) - Method in class org.encog.bot.spider.Spider

Convert the specified String to a URL.

CookieUtility - Class in org.encog.util.http

This class allows URLConnection objects to process cookies.

CookieUtility() - Constructor for class org.encog.util.http.CookieUtility

copy(Matrix, Matrix) - Static method in class org.encog.matrix.MatrixMath

Copy from one matrix to another.

copy(DataObject) - Method in class org.encog.util.orm.DataObject

Copy this object from another.

copyFile(File, File) - Static method in class org.encog.util.Directory

Copy the specified file.

cos(double) - Static method in class org.encog.util.math.BoundMath

Calculate the cos.

countContents(int) - Method in class org.encog.nlp.memory.RelationHolder

countListOverlap(List<Concept>, List<Concept>) - Method in class org.encog.nlp.reason.Reason

countNull() - Method in class org.encog.nlp.memory.RelationHolder

countTargets(Concept, Concept) - Method in class org.encog.nlp.memory.RelationHolder

countWordList() - Method in class org.encog.nlp.lexicon.EncogLexicon

create() - Method in class org.encog.nlp.memory.ConceptHolder

create(String) - Method in class org.encog.nlp.memory.ConceptHolder

create() - Method in class org.encog.persist.EncogPersistedCollection

Create the file.

createColumnMatrix(double[]) - Static method in class org.encog.matrix.Matrix

Turn an array of doubles into a column matrix.

createDate(int, int, int) - Static method in class org.encog.util.time.DateUtil

Create a Date object with the specified date.

createElement(int) - Method in class org.encog.parse.recognize.Recognize

createInputMatrix(NeuralData) - Static method in class org.encog.matrix.MatrixMath

Create an input matrix for a neural network.

createInputMatrix(NeuralData, double) - Method in class org.encog.util.NormalizeInput

Create an input matrix that has enough space to hold the extra synthetic input.

createInputStream() - Method in class org.encog.persist.location.FilePersistence

createInputStream() - Method in interface org.encog.persist.location.PersistenceLocation

createInputStream() - Method in class org.encog.persist.location.ResourcePersistence

Create an input stream to read from the resource.

createOutputStream() - Method in class org.encog.persist.location.FilePersistence

createOutputStream() - Method in interface org.encog.persist.location.PersistenceLocation

createOutputStream() - Method in class org.encog.persist.location.ResourcePersistence

Write operations are not supported for resource persistence.

createPersistor() - Method in class org.encog.matrix.Matrix

Create a Persistor for this object.

createPersistor() - Method in class org.encog.neural.activation.ActivationBiPolar

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.ActivationGaussian

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.ActivationLinear

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.ActivationLOG

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.ActivationSigmoid

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.ActivationSIN

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.ActivationSoftMax

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.ActivationTANH

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.activation.BasicActivationFunction

Create a Persistor for this activation function.

createPersistor() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Create a persistor for this object.

createPersistor() - Method in class org.encog.neural.data.PropertyData

createPersistor() - Method in class org.encog.neural.data.TextData

Create a persistor to store this object.

createPersistor() - Method in class org.encog.neural.networks.BasicNetwork

Create a persistor for this object.

createPersistor() - Method in class org.encog.neural.networks.layers.BasicLayer

Create a persistor for this layer.

createPersistor() - Method in class org.encog.neural.networks.layers.ContextLayer

Create a persistor for this layer.

createPersistor() - Method in class org.encog.neural.networks.layers.RadialBasisFunctionLayer

Create a persistor for this layer.

createPersistor() - Method in interface org.encog.neural.networks.Network

Create a persistor for this object.

createPersistor() - Method in class org.encog.neural.networks.synapse.DirectSynapse

Create a persistor for this type of synapse.

createPersistor() - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

createPersistor() - Method in class org.encog.neural.networks.synapse.WeightedSynapse

Return a persistor for this object.

createPersistor() - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

Return a persistor for this object.

createPersistor() - Method in class org.encog.parse.ParseTemplate

createPersistor() - Method in interface org.encog.persist.EncogPersistedObject

Create a persistor for this object.

createPersistor(String) - Static method in class org.encog.persist.persistors.PersistorUtil

Create a persistor object.

createPoint(Date) - Method in class org.encog.neural.data.market.MarketNeuralDataSet

Create a datapoint at the specified date.

createPoint(Date) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Create a temporal point from a time.

createPoint(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Create a temporal data point using a sequence number.

createQuery(String) - Method in class org.encog.util.orm.ORMSession

Create a HQL query.

createRecognizer(String) - Method in class org.encog.parse.ParseTemplate

createRecognizers(Parse) - Method in class org.encog.parse.units.UnitManager

Create recongizers for the specified parse object.

createRelation() - Method in class org.encog.nlp.memory.RelationHolder

createRowMatrix(double[]) - Static method in class org.encog.matrix.Matrix

Turn an array of doubles into a row matrix.

createSQLQuery(String) - Method in class org.encog.util.orm.ORMSession

Create a Hibernate SQL query.

CSVNeuralDataSet - Class in org.encog.neural.data.csv

An implementation of the NeuralDataSet interface designed to provide a CSV file to the neural network.

CSVNeuralDataSet(String, int, int, boolean) - Constructor for class org.encog.neural.data.csv.CSVNeuralDataSet

Construct this data set using a comma as a delimiter.

CSVNeuralDataSet(String, int, int, boolean, char) - Constructor for class org.encog.neural.data.csv.CSVNeuralDataSet

Construct this data set using a comma as a delimiter.

CSVNeuralDataSet.CSVNeuralIterator - Class in org.encog.neural.data.csv

An iterator designed to read from CSV files.

CSVNeuralDataSet.CSVNeuralIterator() - Constructor for class org.encog.neural.data.csv.CSVNeuralDataSet.CSVNeuralIterator

Default constructor.

CUT - Static variable in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

The cutoff for random data.

cut(int, int) - Method in class org.encog.parse.signal.Signal

D

DataObject - Class in org.encog.util.orm

This is the superclass for all Encog Hibernate persisted classes.

DataObject() - Constructor for class org.encog.util.orm.DataObject

DataObjectInterceptor - Class in org.encog.util.orm

A simple Hibernate interceptor that ensures that the last update field on Encog database persisted objects are updated.

DataObjectInterceptor() - Constructor for class org.encog.util.orm.DataObjectInterceptor

DataUnit - Class in org.encog.bot.dataunit

Data units are very abstract pieces of data that the browser processes.

DataUnit() - Constructor for class org.encog.bot.dataunit.DataUnit

DataValidateError - Exception in org.encog.util.orm

Thrown when something attempts to persist and invalid object.

DataValidateError(String) - Constructor for exception org.encog.util.orm.DataValidateError

Construct a data validation error.

DateUtil - Class in org.encog.util.time

Simple date utility class.

DAYS_WEEK - Static variable in class org.encog.util.time.TimeSpan

Days in a week.

DEFAULT_ALTERNATE_CYCLES - Static variable in class org.encog.neural.networks.training.strategy.HybridStrategy

The default number of cycles to use the alternate training for.

DEFAULT_INITIAL_UPDATE - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

The starting update for a delta.

DEFAULT_MAX_STEP - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

The maximum amount a delta can reach.

DEFAULT_MIN_IMPROVEMENT - Static variable in class org.encog.neural.networks.training.strategy.HybridStrategy

The default minimum improvement before we switch to the alternate training method.

DEFAULT_MIN_IMPROVEMENT - Static variable in class org.encog.neural.networks.training.strategy.StopTrainingStrategy

The default minimum improvement before training stops.

DEFAULT_PRECISION - Static variable in class org.encog.Encog

The default precision to use for compares.

DEFAULT_TIMEOUT - Static variable in class org.encog.bot.spider.Spider

The default timeout.

DEFAULT_TOLERATE_CYCLES - Static variable in class org.encog.neural.networks.training.strategy.HybridStrategy

The default number of cycles to tolerate bad improvement for.

DEFAULT_TOLERATE_CYCLES - Static variable in class org.encog.neural.networks.training.strategy.StopTrainingStrategy

The default number of cycles to tolerate.

DEFAULT_ZERO_TOLERANCE - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

The default zero tolerance.

delete(DirectoryEntry) - Method in class org.encog.persist.EncogPersistedCollection

Delete the specified object, use a directory entry.

delete(EncogPersistedObject) - Method in class org.encog.persist.EncogPersistedCollection

Delete the specified object.

delete(String) - Method in class org.encog.persist.EncogPersistedCollection

Delete the specified object.

delete() - Method in class org.encog.persist.location.FilePersistence

Attempt to delete the file.

delete() - Method in interface org.encog.persist.location.PersistenceLocation

Delete the location, if possible.

delete() - Method in class org.encog.persist.location.ResourcePersistence

Delete operations are not supported for resource persistence.

delete(Object) - Method in class org.encog.util.orm.ORMSession

Delete the specified persisted object.

deleteCol(Matrix, int) - Static method in class org.encog.matrix.MatrixMath

Delete one column from the matrix.

deleteDirectory(File) - Static method in class org.encog.util.Directory

Delete a directory and all children.

deleteRow(Matrix, int) - Static method in class org.encog.matrix.MatrixMath

Delete a row from the matrix.

DELTA_MIN - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

The minimum delta value for a weight matrix value.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationBiPolar

Implements the activation function derivative.

derivativeFunction(double[]) - Method in interface org.encog.neural.activation.ActivationFunction

Implements the activation function derivative.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationGaussian

Implements the activation function derivative.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationLinear

Implements the activation function derivative.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationLOG

Implements the activation function derivative.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationSigmoid

Implements the activation function derivative.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationSIN

Implements the activation function derivative.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationSoftMax

Implements the activation function derivative.

derivativeFunction(double[]) - Method in class org.encog.neural.activation.ActivationTANH

Implements the activation function derivative.

determineError() - Method in class org.encog.solve.anneal.SimulatedAnnealing

Subclasses should provide a method that evaluates the error for the current solution.

determineNeuronSignificance(Layer, int) - Method in class org.encog.neural.prune.PruneSelective

Determine the significance of the neuron.

determinePreviousSynapses() - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Determine the previous synapses from this level.

determineWordFixes(Word) - Method in class org.encog.nlp.lexicon.EncogLexicon

DIALECT - Static variable in class org.encog.util.HSQLUtil

The dialect to use for the memory database.

Directory - Class in org.encog.util

Directory utilities.

DirectoryEntry - Class in org.encog.persist

The idea of the Encog persisted collection is that the entire file might be quite long and should not be read into memory in its entirity.

DirectoryEntry(EncogPersistedObject) - Constructor for class org.encog.persist.DirectoryEntry

Construct a directory entry for the specified object.

DirectoryEntry(String, String, String) - Constructor for class org.encog.persist.DirectoryEntry

Construct a directory entry from strings.

DirectSynapse - Class in org.encog.neural.networks.synapse

A direct synapse will present the entire input array to each of the directly connected neurons in the next layer.

DirectSynapse() - Constructor for class org.encog.neural.networks.synapse.DirectSynapse

Simple default constructor.

DirectSynapse(Layer, Layer) - Constructor for class org.encog.neural.networks.synapse.DirectSynapse

Construct a direct synapse between the two specified layers.

DirectSynapsePersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the DirectSynapse class.

DirectSynapsePersistor() - Constructor for class org.encog.persist.persistors.DirectSynapsePersistor

displayDate(Date) - Static method in class org.encog.util.ReadCSV

Format a date.

Distort - Class in org.encog.util.randomize

A randomizer that distorts what is already present in the neural network.

Distort(double) - Constructor for class org.encog.util.randomize.Distort

Construct a distort randomizer for the specified factor.

DISTORT_FACTOR - Static variable in class org.encog.neural.networks.training.genetic.NeuralChromosome

The amount of distortion to perform a mutation.

distribute(Object) - Method in class org.encog.bot.browse.extract.BasicExtract

Distribute an object to the listeners.

Div - Class in org.encog.bot.browse.range

A document range that represents the beginning and ending DIV tag, as well as any tages embedded between them.

Div(WebPage) - Constructor for class org.encog.bot.browse.range.Div

Construct a range to hold the DIV tag.

divide(Matrix, double) - Static method in class org.encog.matrix.MatrixMath

Return a matrix with each cell divided by the specified value.

DocumentRange - Class in org.encog.bot.browse.range

Base class that represents a document range.

DocumentRange(WebPage) - Constructor for class org.encog.bot.browse.range.DocumentRange

Construct a document range from the specified WebPage.

dotProduct(Matrix, Matrix) - Static method in class org.encog.matrix.MatrixMath

Compute the dot product for the two matrixes.

double2bipolar(double) - Static method in class org.encog.matrix.BiPolarUtil

Convert a bipolar value to a boolean.

double2bipolar(double[]) - Static method in class org.encog.matrix.BiPolarUtil

Convert a bipolar array to booleans.

double2bipolar(double[][]) - Static method in class org.encog.matrix.BiPolarUtil

Convert a bipolar array to a boolean array.

downsample(Downsample, boolean, int, int) - Method in class org.encog.neural.data.image.ImageNeuralData

Downsample, and copy, the image contents into the data of this object.

downsample(int, int) - Method in class org.encog.neural.data.image.ImageNeuralDataSet

Downsample all images and generate training data.

Downsample - Interface in org.encog.util.downsample

Utility to downsample an image.

downSample(int, int) - Method in interface org.encog.util.downsample.Downsample

Downsample the image to the specified height and width.

downSample(int, int) - Method in class org.encog.util.downsample.SimpleIntensityDownsample

Called to downsample the image and store it in the down sample component.

DRIVER - Static variable in class org.encog.util.HSQLUtil

The driver to use for the memory database.

dump() - Method in class org.encog.nlp.memory.RelationHolder

dump() - Method in class org.encog.nlp.reason.EvaluateText

dump() - Method in class org.encog.parse.signal.Signal

dumpArray(double[]) - Static method in class org.encog.util.logging.DumpMatrix

Dump an array of numbers to a string.

DumpMatrix - Class in org.encog.util.logging

A utility for writing matrixes to the log.

dumpMatrix(Matrix) - Static method in class org.encog.util.logging.DumpMatrix

Dump a matrix to a string.

dumpShort() - Method in class org.encog.nlp.reason.EvaluateText

E

eatWhitespace() - Method in class org.encog.parse.tags.read.ReadTags

Remove any whitespace characters that are next in the InputStream.

ElmanPattern - Class in org.encog.neural.pattern

This class is used to generate an Elman style recurrent neural network.

ElmanPattern() - Constructor for class org.encog.neural.pattern.ElmanPattern

Create an object to generate Elman neural networks.

ENCODE - Static variable in class org.encog.util.http.FormUtility

The charset to use for URL encoding.

Encog - Class in org.encog

Main Encog class, does little more than provide version information.

ENCOG_FILE_VERSION - Static variable in class org.encog.Encog

The encog file version.

ENCOG_VERSION - Static variable in class org.encog.Encog

The version of the Encog JAR we are working with.

EncogConcurrency - Class in org.encog.util.concurrency

This class abstracts thread pools, and potentially grids and other types of concurrency.

EncogConcurrency() - Constructor for class org.encog.util.concurrency.EncogConcurrency

Construct a concurrency object.

EncogError - Exception in org.encog

General error class for Encog.

EncogError(String) - Constructor for exception org.encog.EncogError

Construct a message exception.

EncogError(Throwable) - Constructor for exception org.encog.EncogError

Construct an exception that holds another exception.

EncogFormatter - Class in org.encog.util.logging

A simple formatter for logging.

EncogFormatter() - Constructor for class org.encog.util.logging.EncogFormatter

EncogLexicon - Class in org.encog.nlp.lexicon

Note: This class is part of the Encog Natural Language Processing(NLP) package.

EncogLexicon(ORMSession) - Constructor for class org.encog.nlp.lexicon.EncogLexicon

EncogNLP - Class in org.encog.nlp

Note: This class is part of the Encog Natural Language Processing(NLP) package.

EncogNLP(ORMSession) - Constructor for class org.encog.nlp.EncogNLP

EncogPersistedCollection - Class in org.encog.persist

An EncogPersistedCollection holds a collection of EncogPersistedObjects.

EncogPersistedCollection(File) - Constructor for class org.encog.persist.EncogPersistedCollection

Create a persistance collection for the specified file.

EncogPersistedCollection(PersistenceLocation) - Constructor for class org.encog.persist.EncogPersistedCollection

Create an object based on the specified location.

EncogPersistedCollection(String) - Constructor for class org.encog.persist.EncogPersistedCollection

Construct an object with the specified filename.

EncogPersistedObject - Interface in org.encog.persist

This interface flags an class as being able to be persisted into an Encog collection.

EncogTask - Interface in org.encog.util.concurrency

An individual task that can be submitted to the EncogCurrency utility.

end() - Method in class org.encog.persist.PersistWriter

End the document.

endDocument() - Method in class org.encog.parse.tags.write.WriteTags

End the document.

endObjects() - Method in class org.encog.persist.PersistWriter

End the objects collection.

endsWith(String) - Method in class org.encog.nlp.lexicon.data.Word

endTag() - Method in class org.encog.parse.tags.write.WriteTags

End the current tag.

EnglishTimeUnitNames - Class in org.encog.util.time

Class used to get the English names for TimeUnits.

EnglishTimeUnitNames() - Constructor for class org.encog.util.time.EnglishTimeUnitNames

equals(Matrix) - Method in class org.encog.matrix.Matrix

Check to see if this matrix equals another, using default precision.

equals(Matrix, int) - Method in class org.encog.matrix.Matrix

Compare to matrixes with the specified level of precision.

equals(TickerSymbol) - Method in class org.encog.neural.data.market.TickerSymbol

Determine if two ticker symbols equal each other.

equals(BasicNetwork) - Method in class org.encog.neural.networks.BasicNetwork

Compare the two neural networks.

equals(BasicNetwork, int) - Method in class org.encog.neural.networks.BasicNetwork

Determine if this neural network is equal to another.

equals(BasicNetwork) - Method in interface org.encog.neural.networks.Network

Compare the two neural networks.

equals(BasicNetwork, int) - Method in interface org.encog.neural.networks.Network

Determine if this neural network is equal to another.

equals(Object) - Method in class org.encog.nlp.memory.AliasConcept

equals(Object) - Method in class org.encog.nlp.memory.ConstConcept

equals(Object) - Method in class org.encog.nlp.memory.Relation

equals(Object) - Method in class org.encog.nlp.memory.VarConcept

equals(Object) - Method in class org.encog.util.orm.DataObject

Determine if this object equals another.

ERROR - Static variable in class org.encog.bot.spider.WorkloadStatus

The workload item has been processed, but an error happened.

ErrorCalculation - Class in org.encog.util

An implementation of root mean square (RMS) error calculation.

ErrorCalculation() - Constructor for class org.encog.util.ErrorCalculation

EULERS_NUMBER - Static variable in class org.encog.util.math.MathConst

Euler's number.

EvaluateText - Class in org.encog.nlp.reason

Note: This class is part of the Encog Natural Language Processing(NLP) package.

EvaluateText(EncogNLP) - Constructor for class org.encog.nlp.reason.EvaluateText

Creates a new instance of Parse

evict(DataObject) - Method in class org.encog.util.orm.ORMSession

Evict the specified object from the cache.

executeSQL(String) - Method in class org.encog.util.orm.ORMSession

Execute the specified SQL.

exists() - Method in class org.encog.persist.location.FilePersistence

exists() - Method in interface org.encog.persist.location.PersistenceLocation

exists() - Method in class org.encog.persist.location.ResourcePersistence

Exist is not supported for resource persistence.

exp(double) - Static method in class org.encog.util.math.BoundMath

Calculate the exp.

export() - Method in class org.encog.util.orm.SessionManager

Export the DDL, this creates the tables needed.

extend(Concept) - Method in class org.encog.nlp.reason.ParseActions

Extract - Interface in org.encog.bot.browse.extract

Provides the basic interface that any extractor must support.

extract(WebPage) - Method in interface org.encog.bot.browse.extract.Extract

Extract data from the web page.

extract(WebPage) - Method in class org.encog.bot.browse.extract.ExtractWords

Extract words from the specified WebPage.

extractList(WebPage) - Method in class org.encog.bot.browse.extract.BasicExtract

Extract from the web page and return the results as a list.

extractList(WebPage) - Method in interface org.encog.bot.browse.extract.Extract

Extract from the web page and return the results as a list.

ExtractListener - Interface in org.encog.bot.browse.extract

The ExtractListener interface defines a class that can receive extraction events as an extraction process occurs.

ExtractWords - Class in org.encog.bot.browse.extract

An extractor that is designed to extract all of the words from a web page.

ExtractWords() - Constructor for class org.encog.bot.browse.extract.ExtractWords

Construct the extractor for words.

F

FanInRandomizer - Class in org.encog.util.randomize

A randomizer that attempts to create starting weight values that are conducive to back propagation training.

FanInRandomizer() - Constructor for class org.encog.util.randomize.FanInRandomizer

Create a fan-in randomizer with default values.

FanInRandomizer(double, boolean) - Constructor for class org.encog.util.randomize.FanInRandomizer

Construct a fan-in randomizer along the specified boundary.

FanInRandomizer(double, double, boolean) - Constructor for class org.encog.util.randomize.FanInRandomizer

Construct a fan-in randomizer.

FeedForwardPattern - Class in org.encog.neural.pattern

Used to create feedforward neural networks.

FeedForwardPattern() - Constructor for class org.encog.neural.pattern.FeedForwardPattern

FilePersistence - Class in org.encog.persist.location

A persistance location based on a file.

FilePersistence(File) - Constructor for class org.encog.persist.location.FilePersistence

Construct a persistance location based on a file.

finalizeStructure() - Method in class org.encog.neural.networks.NeuralStructure

Build the synapse and layer structure.

find(Class<Form>, int) - Method in class org.encog.bot.browse.WebPage

Find the specified DocumentRange subclass in the contents list.

find(long) - Method in class org.encog.nlp.memory.ConceptHolder

find(long) - Static method in class org.encog.nlp.memory.ConstConcept

find(DirectoryEntry) - Method in class org.encog.persist.EncogPersistedCollection

Find the specified object, using a DirectoryEntry.

find(String) - Method in class org.encog.persist.EncogPersistedCollection

Called to search all Encog objects in this collection for one with a name that passes what was passed in.

findBounds() - Method in interface org.encog.util.downsample.Downsample

Find the bounds around the image to exclude whitespace.

findBounds() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

This method is called to automatically crop the image so that whitespace is removed.

findByType(String) - Method in class org.encog.parse.signal.Signal

findByType(String, int) - Method in class org.encog.parse.signal.Signal

findEndTag(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage

Find the end tag that lines up to the beginning tag.

findFirstEmpty() - Method in class org.encog.nlp.memory.RelationHolder

findFix(Fix) - Method in class org.encog.nlp.lexicon.data.Lemma

findLemma(String) - Method in class org.encog.nlp.lexicon.EncogLexicon

findLemma(Word) - Method in class org.encog.nlp.lexicon.EncogLexicon

findLink(String) - Method in class org.encog.bot.browse.WebPage

Find the link that contains the specified string.

findTag(String, boolean) - Method in class org.encog.parse.tags.read.ReadXML

Advance until the specified tag is found.

findType(String, int) - Method in class org.encog.bot.browse.range.Form

Find the form input by type.

findWord(String) - Method in class org.encog.nlp.lexicon.EncogLexicon

Fix - Class in org.encog.nlp.lexicon.data

Note: This class is part of the Encog Natural Language Processing(NLP) package.

Fix() - Constructor for class org.encog.nlp.lexicon.data.Fix

flush() - Method in class org.encog.util.orm.ORMSession

Flush this session.

Form - Class in org.encog.bot.browse.range

A document range that represents a form, and all embedded tags.

Form(WebPage) - Constructor for class org.encog.bot.browse.range.Form

Construct a form on the specified web page.

Form.Method - Enum in org.encog.bot.browse.range

The method for this form.

format(LogRecord) - Method in class org.encog.util.logging.EncogFormatter

Format the log record.

FormatError - Exception in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

FormatError(String) - Constructor for exception org.encog.nlp.memory.FormatError

Construct a message exception.

FormatError(Throwable) - Constructor for exception org.encog.nlp.memory.FormatError

Construct an exception that holds another exception.

FormElement - Class in org.encog.bot.browse.range

A document range that represents one individual component to a form.

FormElement(WebPage) - Constructor for class org.encog.bot.browse.range.FormElement

Construct a form element from the specified web page.

FormUtility - Class in org.encog.util.http

This class is used to construct responses to HTML forms.

FormUtility(OutputStream, String) - Constructor for class org.encog.util.http.FormUtility

Prepare to access either a regular, or multipart, form.

forward(int) - Static method in class org.encog.nlp.memory.Relation

foundData(Object) - Method in interface org.encog.bot.browse.extract.ExtractListener

Notify that some data has been extracted.

foundData(Object) - Method in class org.encog.bot.browse.extract.ListExtractListener

Called when a word is found, add it to the list.

fromArray(double[]) - Static method in class org.encog.neural.activation.ActivationUtil

Get a single value from an array.

fromCommas(String) - Static method in class org.encog.util.ReadCSV

Get an array of double's from a string of comma separated text.

fromPackedArray(Double[], int) - Method in class org.encog.matrix.Matrix

Create a matrix from a packed array.

function(int, int) - Method in class org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodBubble

Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.

function(int, int) - Method in interface org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodFunction

Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.

function(int, int) - Method in class org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodGaussian

Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.

function(int, int) - Method in class org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodSingle

Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.

G

GaussianFunction - Class in org.encog.util.math.rbf

Implements a radial function based on the gaussian function.

GaussianFunction(double, double, double) - Constructor for class org.encog.util.math.rbf.GaussianFunction

Construct a Gaussian RBF with the specified center, peak and width.

GENERAL_ERROR - Static variable in class org.encog.persist.EncogPersistedCollection

Generic error message for bad XML.

generate() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Generate the training sets.

generate() - Method in class org.encog.neural.pattern.ElmanPattern

Generate the Elman neural network.

generate() - Method in class org.encog.neural.pattern.FeedForwardPattern

Generate the Elman neural network.

generate() - Method in class org.encog.neural.pattern.HopfieldPattern

Generate the Hopfield neural network.

generate() - Method in class org.encog.neural.pattern.JordanPattern

Generate a Jordan neural network.

generate() - Method in interface org.encog.neural.pattern.NeuralNetworkPattern

Generate the specified neural network.

generate() - Method in class org.encog.neural.pattern.RadialBasisPattern

Generate the RBF network.

generate() - Method in class org.encog.neural.pattern.RSOMPattern

Generate the RSOM network.

generate() - Method in class org.encog.neural.pattern.SOMPattern

Generate the RSOM network.

generateInputNeuralData(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Generate input neural data for the specified index.

generateOutputNeuralData(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Generate neural ideal data for the specified index.

GeneticAlgorithm<GENE_TYPE> - Class in org.encog.solve.genetic

Implements a genetic algorithm.

GeneticAlgorithm() - Constructor for class org.encog.solve.genetic.GeneticAlgorithm

get(int, int) - Method in class org.encog.matrix.Matrix

Read the specified cell in the matrix.

get(String) - Method in class org.encog.neural.data.PropertyData

Get the specified property.

get(int) - Method in class org.encog.util.ReadCSV

Get the specified column as a string.

get(String) - Method in class org.encog.util.ReadCSV

Get the column by its string name, as a string.

getAccMatrixGradients() - Method in class org.encog.neural.networks.training.propagation.PropagationSynapse

getAction() - Method in class org.encog.bot.browse.range.Form

getActivationFunction() - Method in class org.encog.neural.data.temporal.TemporalDataDescription

getActivationFunction() - Method in class org.encog.neural.networks.layers.BasicLayer

getActivationFunction() - Method in interface org.encog.neural.networks.layers.Layer

getActivationFunction() - Method in class org.encog.neural.networks.layers.RadialBasisFunctionLayer

getActual(int) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Get the actual output from the specified neuron.

getAddPostRatio() - Method in class org.encog.parse.units.UnitConversion

getAddPreRatio() - Method in class org.encog.parse.units.UnitConversion

getAlias() - Method in class org.encog.nlp.lexicon.data.Alias

getAllow() - Method in class org.encog.parse.recognize.RecognizeElement

getArray() - Method in class org.encog.solve.anneal.SimulatedAnnealing

Subclasses must provide access to an array that makes up the solution.

getArrayCopy() - Method in class org.encog.solve.anneal.SimulatedAnnealing

Get a copy of the array.

getAttributeInt(String) - Method in class org.encog.parse.tags.Tag

Get the specified attribute as an integer.

getAttributes() - Method in class org.encog.bot.rss.RSS

Get the list of attributes.

getAttributes() - Method in class org.encog.parse.tags.Tag

Get a map of all attributes.

getAttributeValue(String) - Method in class org.encog.parse.tags.Tag

Get the value of the specified attribute.

getBaseConcepts() - Method in class org.encog.nlp.memory.RelationHolder

getBaseConcepts(Concept) - Method in class org.encog.nlp.reason.Reason

getBaseRelations() - Method in class org.encog.nlp.memory.RelationHolder

getBegin() - Method in class org.encog.bot.browse.range.DocumentRange

getBoolean(int) - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

Get the specified data item as a boolean.

getBooleanValue(Boolean) - Static method in class org.encog.util.orm.DataObject

Convert a Boolean value.

getBoundary() - Static method in class org.encog.util.http.FormUtility

Generate a boundary for a multipart form.

getCenter() - Method in class org.encog.util.math.rbf.GaussianFunction

getCenter() - Method in interface org.encog.util.math.rbf.RadialBasisFunction

getChromosome(int) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Get a specific chromosome.

getChromosomes() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Return the entire population.

getClassAttribute() - Method in class org.encog.bot.browse.range.DocumentRange

getCode() - Method in class org.encog.bot.dataunit.CodeDataUnit

getCode() - Method in class org.encog.nlp.lexicon.data.WordType

getCol(int) - Method in class org.encog.matrix.Matrix

Read one entire column from the matrix as a sub-matrix.

getCols() - Method in class org.encog.matrix.Matrix

Get the columns in the matrix.

getColumnCount() - Method in class org.encog.util.ReadCSV

Get the column count.

getConcepts() - Method in class org.encog.nlp.memory.ConceptHolder

getConcepts() - Method in class org.encog.nlp.memory.LongTermMemory

getConnection() - Static method in class org.encog.util.HSQLUtil

getConsoleHandler() - Static method in class org.encog.util.logging.Logging

getContents() - Method in class org.encog.bot.browse.WebPage

getContents() - Method in class org.encog.nlp.memory.AliasConcept

getContents() - Method in class org.encog.nlp.memory.VarConcept

getContext() - Method in class org.encog.neural.networks.layers.ContextLayer

getCost() - Method in class org.encog.solve.genetic.Chromosome

getCreated() - Method in class org.encog.util.orm.DataObject

getCurrentPage() - Method in class org.encog.bot.browse.Browser

getCutLength() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Get the cut length.

getCycles() - Method in class org.encog.solve.anneal.SimulatedAnnealing

getData() - Method in class org.encog.bot.browse.WebPage

getData() - Method in class org.encog.neural.data.basic.BasicNeuralData

Get the data as an array.

getData(int) - Method in class org.encog.neural.data.basic.BasicNeuralData

Get a data value at the specified index.

getData() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Get the data held by this container.

getData() - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

Get the data held by this object as an array of doubles.

getData(int) - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

Get the data held by the index.

getData(MarketDataType) - Method in class org.encog.neural.data.market.loader.LoadedMarketData

Get one type of market data from this date.

getData() - Method in interface org.encog.neural.data.NeuralData

getData(int) - Method in interface org.encog.neural.data.NeuralData

Get the element specified index value.

getData() - Method in class org.encog.neural.data.PropertyData

Get all of the property data as a map.

getData() - Method in class org.encog.neural.data.temporal.TemporalPoint

getData(int) - Method in class org.encog.neural.data.temporal.TemporalPoint

Get the data at the specified index.

getData() - Method in class org.encog.parse.signal.Signal

getDataSize() - Method in class org.encog.bot.browse.WebPage

Get the number of data items in this collection.

getDataType() - Method in class org.encog.neural.data.market.MarketDataDescription

getDataUnit(int) - Method in class org.encog.bot.browse.WebPage

Get the DataUnit unit at the specified index.

getDate() - Method in class org.encog.bot.rss.RSSItem

Get the publication date.

getDate(String) - Method in class org.encog.util.ReadCSV

Get the column as a date.

getDelimiter() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

getDelta(int) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

The deltas, or differences, between the ideal and actual.

getDelta() - Method in class org.encog.parse.signal.Signal

getDeltas() - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

getDeltas() - Method in class org.encog.neural.networks.training.propagation.PropagationSynapse

getDepth() - Method in class org.encog.bot.spider.WorkloadItem

getDescription() - Method in class org.encog.bot.rss.RSSItem

Get the description.

getDescription() - Method in class org.encog.matrix.Matrix

getDescription() - Method in class org.encog.neural.activation.BasicActivationFunction

getDescription() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

getDescription() - Method in class org.encog.neural.data.PropertyData

getDescription() - Method in class org.encog.neural.data.TextData

getDescription() - Method in class org.encog.neural.networks.BasicNetwork

getDescription() - Method in class org.encog.neural.networks.layers.BasicLayer

getDescription() - Method in interface org.encog.neural.networks.Network

getDescription() - Method in class org.encog.neural.networks.synapse.BasicSynapse

The EncogPersistedObject requires a name and description, however, these are not used on synapses.

getDescription() - Method in class org.encog.parse.ParseTemplate

getDescription() - Method in class org.encog.persist.DirectoryEntry

getDescription() - Method in interface org.encog.persist.EncogPersistedObject

getDescriptions() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getDesiredSetSize() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getDirectory() - Method in class org.encog.persist.EncogPersistedCollection

getDouble(int) - Method in class org.encog.util.ReadCSV

Get the column as a double specified by index.

getDouble(String) - Method in class org.encog.util.ReadCSV

Get the specified column as a double.

getDownSampleBottom() - Method in interface org.encog.util.downsample.Downsample

getDownSampleBottom() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getDownSampleLeft() - Method in interface org.encog.util.downsample.Downsample

getDownSampleLeft() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getDownSampleRight() - Method in interface org.encog.util.downsample.Downsample

getDownSampleRight() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getDownSampleTop() - Method in interface org.encog.util.downsample.Downsample

getDownSampleTop() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getElements() - Method in class org.encog.bot.browse.range.DocumentRange

getEncogVersion() - Method in class org.encog.persist.EncogPersistedCollection

getEnd() - Method in class org.encog.bot.browse.range.DocumentRange

getError() - Method in class org.encog.neural.networks.training.BasicTraining

Get the current error percent from the training.

getError() - Method in interface org.encog.neural.networks.training.Train

Get the current error percent from the training.

getError() - Method in class org.encog.solve.anneal.SimulatedAnnealing

getEvaluate() - Method in class org.encog.nlp.EncogNLP

getExchange() - Method in class org.encog.neural.data.market.TickerSymbol

getExclude() - Method in class org.encog.bot.spider.filter.RobotsFilter

Returns a list of URL's to be excluded.

getFile() - Method in class org.encog.persist.location.FilePersistence

getFilename() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

getFilename() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

getFileVersion() - Method in class org.encog.persist.EncogPersistedCollection

getFixes() - Method in class org.encog.nlp.lexicon.data.Word

getFrom() - Method in class org.encog.parse.units.UnitConversion

getFrom() - Method in class org.encog.util.time.TimeSpan

getFromLayer() - Method in class org.encog.neural.networks.synapse.BasicSynapse

getFromLayer() - Method in interface org.encog.neural.networks.synapse.Synapse

getFromNeuronCount() - Method in class org.encog.neural.networks.synapse.BasicSynapse

getFromNeuronCount() - Method in interface org.encog.neural.networks.synapse.Synapse

getGausian() - Method in class org.encog.neural.activation.ActivationGaussian

getGene(int) - Method in class org.encog.solve.genetic.Chromosome

Get the specified gene.

getGenes() - Method in class org.encog.solve.genetic.Chromosome

Used the get the entire gene array.

getGenetic() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

getGeneticAlgorithm() - Method in class org.encog.solve.genetic.Chromosome

getGutenbergCount() - Method in class org.encog.nlp.lexicon.data.Word

getHeight() - Method in class org.encog.neural.data.image.ImageNeuralDataSet

getHeight() - Method in class org.encog.util.ImageSize

getHidden() - Method in class org.encog.neural.prune.PruneIncremental

getHiddenLayerCount() - Method in class org.encog.neural.networks.BasicNetwork

Get the count for how many hidden layers are present.

getHiddenLayerCount() - Method in interface org.encog.neural.networks.Network

Get the count for how many hidden layers are present.

getHiddenLayers() - Method in class org.encog.neural.networks.BasicNetwork

Get a collection of the hidden layers in the network.

getHiddenLayers() - Method in interface org.encog.neural.networks.Network

Get a collection of the hidden layers in the network.

getHigh() - Method in class org.encog.neural.data.temporal.TemporalDataDescription

getHighSequence() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getHost() - Method in class org.encog.bot.spider.WorkloadItem

getId() - Method in class org.encog.util.orm.DataObject

getIdAttribute() - Method in class org.encog.bot.browse.range.DocumentRange

getIdeal() - Method in class org.encog.neural.data.basic.BasicNeuralDataPair

Get the expected results.

getIdeal() - Method in interface org.encog.neural.data.NeuralDataPair

getIdealSize() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Get the size of the ideal dataset.

getIdealSize() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

getIdealSize() - Method in interface org.encog.neural.data.NeuralDataSet

getIdealSize() - Method in class org.encog.neural.data.sql.SQLNeuralDataSet

getIdealSize() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

getIdealXML() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

getIgnore() - Method in class org.encog.parse.recognize.Recognize

getIgnore() - Method in class org.encog.parse.signal.Signal

getImage() - Method in class org.encog.neural.data.image.ImageNeuralData

getImage() - Method in interface org.encog.util.downsample.Downsample

getImage() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getImageHeight() - Method in interface org.encog.util.downsample.Downsample

getImageHeight() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getImageWidth() - Method in interface org.encog.util.downsample.Downsample

getImageWidth() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getIndex() - Method in class org.encog.neural.data.temporal.TemporalDataDescription

getInitialUpdate() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

getInput() - Method in class org.encog.neural.data.basic.BasicNeuralDataPair

Get the input data.

getInput() - Method in interface org.encog.neural.data.NeuralDataPair

getInputLayer() - Method in class org.encog.neural.networks.BasicNetwork

Get the input layer.

getInputLayer() - Method in interface org.encog.neural.networks.Network

Get the input layer.

getInputMatrix() - Method in class org.encog.util.NormalizeInput

Get the resulting input matrix.

getInputNeuronCount() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getInputSize() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Get the size of the input dataset.

getInputSize() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

getInputSize() - Method in interface org.encog.neural.data.NeuralDataSet

getInputSize() - Method in class org.encog.neural.data.sql.SQLNeuralDataSet

getInputSize() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

getInputWindowSize() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getInputXML() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

getInstance() - Static method in class org.encog.Encog

Get the instance to the singleton.

getInstance() - Static method in class org.encog.util.concurrency.EncogConcurrency

getInt(String) - Method in class org.encog.util.ReadCSV

Obtain a column as an integer referenced by a string.

getItems() - Method in class org.encog.bot.rss.RSS

getLastMatrixGradients() - Method in class org.encog.neural.networks.training.propagation.PropagationSynapse

getLastRelation() - Method in class org.encog.nlp.reason.EvaluateText

getLastThresholdGradent(int) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Get the specified threshold gradient, from the last iteration of training.

getLastUpdate() - Method in class org.encog.util.orm.DataObject

getLayers() - Method in class org.encog.neural.networks.NeuralStructure

getLayers() - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

getLearningRate() - Method in class org.encog.neural.networks.training.competitive.CompetitiveTraining

getLearningRate() - Method in interface org.encog.neural.networks.training.LearningRate

getLearningRate() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation

getLearningRate() - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation

getLemma() - Method in class org.encog.nlp.lexicon.data.Word

getLevels() - Method in class org.encog.neural.networks.training.propagation.Propagation

getLexicon() - Method in class org.encog.nlp.EncogNLP

getLink() - Method in class org.encog.bot.rss.RSSItem

Get the hyperlink.

getList() - Method in class org.encog.bot.browse.extract.ListExtractListener

getListeners() - Method in class org.encog.bot.browse.extract.BasicExtract

getListeners() - Method in interface org.encog.bot.browse.extract.Extract

getLoader() - Method in class org.encog.neural.data.market.MarketNeuralDataSet

getLocation() - Method in class org.encog.nlp.reason.EvaluateText

getLow() - Method in class org.encog.neural.data.temporal.TemporalDataDescription

getLowSequence() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getMap() - Method in class org.encog.util.http.CookieUtility

Allows access to the name/value pair list of cookies.

getMatingPopulation() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Get the mating population.

getMatrix() - Method in class org.encog.neural.networks.synapse.DirectSynapse

getMatrix() - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

getMatrix() - Method in interface org.encog.neural.networks.synapse.Synapse

Get the weight and threshold matrix.

getMatrix() - Method in class org.encog.neural.networks.synapse.WeightedSynapse

Get the weight and threshold matrix.

getMatrix() - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

getMatrixSize() - Method in class org.encog.neural.networks.synapse.DirectSynapse

getMatrixSize() - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

getMatrixSize() - Method in interface org.encog.neural.networks.synapse.Synapse

Get the size of the matrix, or zero if one is not defined.

getMatrixSize() - Method in class org.encog.neural.networks.synapse.WeightedSynapse

Get the size of the matrix, or zero if one is not defined.

getMatrixSize() - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

getMax() - Method in class org.encog.neural.prune.HiddenLayerParams

getMaxStep() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

getMemory() - Method in class org.encog.nlp.EncogNLP

getMethod() - Method in class org.encog.bot.browse.range.Form

getMin() - Method in class org.encog.neural.prune.HiddenLayerParams

getMomentum() - Method in interface org.encog.neural.networks.training.Momentum

getMomentum() - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation

getMutationPercent() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Get the mutation percent.

getName() - Method in class org.encog.bot.browse.range.FormElement

getName() - Method in class org.encog.matrix.Matrix

getName() - Method in class org.encog.neural.activation.BasicActivationFunction

getName() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

getName() - Method in class org.encog.neural.data.PropertyData

getName() - Method in class org.encog.neural.data.TextData

getName() - Method in class org.encog.neural.networks.BasicNetwork

getName() - Method in class org.encog.neural.networks.layers.BasicLayer

getName() - Method in interface org.encog.neural.networks.Network

getName() - Method in class org.encog.neural.networks.synapse.BasicSynapse

The EncogPersistedObject requires a name and description, however, these are not used on synapses.

getName() - Method in class org.encog.parse.ParseTemplate

getName() - Method in class org.encog.parse.recognize.RecognizeElement

getName() - Method in class org.encog.parse.signal.Signal

getName() - Method in class org.encog.parse.tags.Tag

getName() - Method in class org.encog.persist.DirectoryEntry

getName() - Method in interface org.encog.persist.EncogPersistedObject

getNeighborhood() - Method in class org.encog.neural.networks.training.competitive.CompetitiveTraining

getNetwork() - Method in class org.encog.neural.networks.NeuralStructure

getNetwork() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

Get the best network from the training.

getNetwork() - Method in class org.encog.neural.networks.training.competitive.CompetitiveTraining

getNetwork() - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

getNetwork() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

getNetwork() - Method in class org.encog.neural.networks.training.hopfield.TrainHopfield

getNetwork() - Method in class org.encog.neural.networks.training.propagation.Propagation

Get the current best neural network.

getNetwork() - Method in interface org.encog.neural.networks.training.Train

Get the current best network from the training.

getNetwork() - Method in class org.encog.neural.prune.PruneSelective

getNeuronCount() - Method in class org.encog.neural.networks.layers.BasicLayer

Get the neuron count for this layer.

getNeuronCount() - Method in interface org.encog.neural.networks.layers.Layer

getNeuronCount() - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

getNext() - Method in class org.encog.neural.networks.layers.BasicLayer

getNext() - Method in interface org.encog.neural.networks.layers.Layer

Get a list of all of the outbound synapse connections from this layer.

getNextLayers() - Method in class org.encog.neural.networks.layers.BasicLayer

getNextLayers() - Method in interface org.encog.neural.networks.layers.Layer

getNextNode() - Method in class org.encog.nlp.memory.Relation

getNode(int) - Method in class org.encog.nlp.memory.Relation

getNormfac() - Method in class org.encog.util.NormalizeInput

The normalization factor.

getOriginal() - Method in class org.encog.bot.browse.Address

getOutgoing() - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

getOutput() - Method in class org.encog.neural.networks.NeuralOutputHolder

getOutputHolder() - Method in class org.encog.neural.networks.training.propagation.Propagation

getOutputLayer() - Method in class org.encog.neural.networks.BasicNetwork

Get the output layer.

getOutputLayer() - Method in interface org.encog.neural.networks.Network

Get the output layer.

getOutputNeuronCount() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getOwner() - Method in class org.encog.bot.browse.range.FormElement

getPairXML() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

getParent() - Method in class org.encog.bot.browse.range.DocumentRange

getParse() - Method in class org.encog.nlp.EncogNLP

getPattern() - Method in class org.encog.neural.prune.PruneIncremental

getPattern() - Method in class org.encog.parse.recognize.Recognize

getPeak() - Method in class org.encog.util.math.rbf.GaussianFunction

getPeak() - Method in interface org.encog.util.math.rbf.RadialBasisFunction

getPercentToMate() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Get the percent to mate.

getPixelMap() - Method in interface org.encog.util.downsample.Downsample

getPixelMap() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getPlatform() - Method in class org.encog.persist.EncogPersistedCollection

getPoints() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getPopulationSize() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Get the population size.

getPredictWindowSize() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getPrefixes() - Method in class org.encog.nlp.lexicon.EncogLexicon

getPreviousLayers(Layer) - Method in class org.encog.neural.networks.NeuralStructure

Get the previous layers from the specified layer.

getPreviousSynapses(Layer) - Method in class org.encog.neural.networks.NeuralStructure

Get the previous synapses.

getProperties() - Method in class org.encog.Encog

getRadialBasisFunction() - Method in class org.encog.neural.networks.layers.RadialBasisFunctionLayer

getRatio() - Method in class org.encog.parse.units.UnitConversion

getRatioX() - Method in interface org.encog.util.downsample.Downsample

getRatioX() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getRatioY() - Method in interface org.encog.util.downsample.Downsample

getRatioY() - Method in class org.encog.util.downsample.SimpleIntensityDownsample

getReason() - Method in class org.encog.nlp.reason.EvaluateText

getRecognizers() - Method in class org.encog.parse.ParseTemplate

getRelations() - Method in class org.encog.nlp.memory.LongTermMemory

getRelations() - Method in class org.encog.nlp.memory.RelationHolder

getReport() - Method in class org.encog.bot.spider.Spider

getResult() - Method in class org.encog.neural.networks.NeuralOutputHolder

getRobotFile() - Method in class org.encog.bot.spider.filter.RobotsFilter

Returns the full URL of the robots.txt file.

getRoot() - Method in class org.encog.nlp.lexicon.data.Lemma

getRootLogger() - Static method in class org.encog.util.logging.Logging

getRow(int) - Method in class org.encog.matrix.Matrix

Get the specified row as a sub-matrix.

getRows() - Method in class org.encog.matrix.Matrix

Get the number of rows in the matrix.

getSequence() - Method in class org.encog.neural.data.temporal.TemporalPoint

getSequenceFromDate(Date) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Create a sequence number from a time.

getSequenceGrandularity() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getSerialNumber() - Method in class org.encog.nlp.memory.AliasConcept

getSerialNumber() - Method in class org.encog.nlp.memory.Concept

getSerialNumber() - Method in class org.encog.nlp.memory.VarConcept

getSession() - Method in class org.encog.Encog

getSession() - Static method in class org.encog.util.HSQLUtil

getSessionManager() - Method in class org.encog.bot.spider.Spider

getSessionManager() - Static method in class org.encog.util.HSQLUtil

getShortTermMemory() - Method in class org.encog.nlp.reason.EvaluateText

getShouldReplace() - Method in class org.encog.nlp.memory.Relation

getSignalClass() - Method in class org.encog.parse.recognize.Recognize

getSource() - Method in class org.encog.bot.browse.range.DocumentRange

getSource() - Method in class org.encog.bot.spider.WorkloadItem

getSource() - Method in class org.encog.nlp.memory.Relation

getSpan(TimeUnit) - Method in class org.encog.util.time.TimeSpan

Get the time span specified by the unit.

getStartingPoint() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

getStartTemperature() - Method in class org.encog.solve.anneal.SimulatedAnnealing

getStatus() - Method in class org.encog.bot.spider.WorkloadItem

getStopTemperature() - Method in class org.encog.solve.anneal.SimulatedAnnealing

getStrategies() - Method in class org.encog.neural.networks.training.BasicTraining

getStrategies() - Method in interface org.encog.neural.networks.training.Train

getStream() - Method in class org.encog.bot.spider.SpiderParseHTML

Get the InputStream being parsed.

getStructure() - Method in class org.encog.neural.networks.BasicNetwork

getStructure() - Method in interface org.encog.neural.networks.Network

getSuffixes() - Method in class org.encog.nlp.lexicon.EncogLexicon

getSymbol() - Method in class org.encog.neural.data.market.TickerSymbol

getSynapse() - Method in class org.encog.neural.networks.training.propagation.PropagationSynapse

getSynapses() - Method in class org.encog.neural.networks.NeuralStructure

getSynth() - Method in class org.encog.util.NormalizeInput

The synthetic input.

getTag() - Method in class org.encog.bot.dataunit.TagDataUnit

getTag() - Method in class org.encog.parse.tags.read.ReadTags

Return the last tag found, this is normally called just after the read function returns a zero.

getTarget() - Method in class org.encog.bot.browse.range.Link

getTarget() - Method in class org.encog.nlp.memory.Relation

getTemperature() - Method in class org.encog.solve.anneal.SimulatedAnnealing

getTemplate() - Method in class org.encog.parse.Parse

getText() - Method in class org.encog.bot.dataunit.TextDataUnit

getText() - Method in class org.encog.neural.data.TextData

getText() - Method in class org.encog.nlp.lexicon.data.Fix

getText() - Method in class org.encog.nlp.lexicon.data.Word

getTextOnly() - Method in class org.encog.bot.browse.range.DocumentRange

Get the text from this range.

getThreshold() - Method in class org.encog.neural.networks.layers.BasicLayer

getThreshold(int) - Method in class org.encog.neural.networks.layers.BasicLayer

Get an individual threshold value.

getThreshold() - Method in interface org.encog.neural.networks.layers.Layer

getThreshold(int) - Method in interface org.encog.neural.networks.layers.Layer

Get an idividual threshold value.

getThresholdDelta(int) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Get the specified threshold value's delta.

getThresholdGradient(int) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Get a specific threshold gradient.

getThresholdGradients() - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

getTicker() - Method in class org.encog.neural.data.market.loader.LoadedMarketData

getTicker() - Method in class org.encog.neural.data.market.MarketDataDescription

getTimeout() - Method in class org.encog.bot.spider.Spider

The current HTTP timeout.

getTitle() - Method in class org.encog.bot.browse.WebPage

Get the title for this document.

getTitle() - Method in class org.encog.bot.rss.RSSItem

Get the item title.

getTo() - Method in class org.encog.parse.units.UnitConversion

getTo() - Method in class org.encog.util.time.TimeSpan

getToLayer() - Method in class org.encog.neural.networks.synapse.BasicSynapse

getToLayer() - Method in interface org.encog.neural.networks.synapse.Synapse

getToNeuronCount() - Method in class org.encog.neural.networks.synapse.BasicSynapse

getToNeuronCount() - Method in interface org.encog.neural.networks.synapse.Synapse

getTraining() - Method in class org.encog.neural.networks.training.BasicTraining

getTraining() - Method in interface org.encog.neural.networks.training.Train

getTraining() - Method in class org.encog.neural.prune.PruneIncremental

getType() - Method in class org.encog.bot.browse.range.Input

getType() - Method in class org.encog.neural.data.temporal.TemporalDataDescription

getType() - Method in class org.encog.neural.networks.synapse.DirectSynapse

getType() - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

getType() - Method in interface org.encog.neural.networks.synapse.Synapse

getType() - Method in class org.encog.neural.networks.synapse.WeightedSynapse

getType() - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

getType() - Method in class org.encog.nlp.lexicon.data.WordTypePossibility

getType() - Method in class org.encog.nlp.memory.Relation

getType() - Method in class org.encog.parse.AcceptedSignal

getType() - Method in class org.encog.parse.tags.Tag

getType() - Method in class org.encog.persist.DirectoryEntry

getTypeConcept(String) - Method in class org.encog.nlp.EncogNLP

getTypes() - Method in class org.encog.nlp.lexicon.data.Word

getUnitManager() - Static method in class org.encog.parse.Parse

getUnits() - Method in class org.encog.nlp.EncogNLP

getUrl() - Method in class org.encog.bot.browse.Address

getUrl() - Method in class org.encog.bot.spider.WorkloadItem

getUserAgent() - Method in class org.encog.bot.spider.Spider

getUses() - Method in class org.encog.nlp.lexicon.data.Lemma

getValue() - Method in class org.encog.bot.browse.range.FormElement

getValue() - Method in class org.encog.parse.AcceptedSignal

getValue() - Method in class org.encog.parse.signal.Signal

getValueXML() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

getVersion() - Method in class org.encog.util.orm.DataObject

getWeightMatrixSize() - Method in class org.encog.neural.networks.BasicNetwork

getWeightMatrixSize() - Method in interface org.encog.neural.networks.Network

getWhen() - Method in class org.encog.neural.data.market.loader.LoadedMarketData

getWhen() - Method in class org.encog.neural.data.market.MarketPoint

getWidth() - Method in class org.encog.neural.data.image.ImageNeuralDataSet

getWidth() - Method in class org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodBubble

getWidth() - Method in class org.encog.util.ImageSize

getWidth() - Method in class org.encog.util.math.rbf.GaussianFunction

getWidth() - Method in interface org.encog.util.math.rbf.RadialBasisFunction

getWikiCount() - Method in class org.encog.nlp.lexicon.data.Word

getWord() - Method in class org.encog.nlp.lexicon.data.Alias

getWord() - Method in class org.encog.nlp.lexicon.data.WordTypePossibility

getWordType() - Method in class org.encog.nlp.lexicon.data.Fix

getWordType(String) - Method in class org.encog.nlp.lexicon.EncogLexicon

getX() - Method in class org.encog.neural.networks.layers.BasicLayer

getX() - Method in interface org.encog.neural.networks.layers.Layer

getXMLText(Node) - Static method in class org.encog.bot.rss.RSS

Simple utility method that obtains the text of an XML node.

getY() - Method in class org.encog.neural.networks.layers.BasicLayer

getY() - Method in interface org.encog.neural.networks.layers.Layer

getZeroTolerance() - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation

getZeroTolerance() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

Greedy - Class in org.encog.neural.networks.training.strategy

A simple greedy strategy.

Greedy() - Constructor for class org.encog.neural.networks.training.strategy.Greedy

H

hasDerivative() - Method in class org.encog.neural.activation.ActivationBiPolar

hasDerivative() - Method in interface org.encog.neural.activation.ActivationFunction

hasDerivative() - Method in class org.encog.neural.activation.ActivationGaussian

hasDerivative() - Method in class org.encog.neural.activation.ActivationLinear

hasDerivative() - Method in class org.encog.neural.activation.ActivationLOG

hasDerivative() - Method in class org.encog.neural.activation.ActivationSigmoid

hasDerivative() - Method in class org.encog.neural.activation.ActivationSIN

hasDerivative() - Method in class org.encog.neural.activation.ActivationSoftMax

hasDerivative() - Method in class org.encog.neural.activation.ActivationTANH

hasFix(Fix) - Method in class org.encog.nlp.lexicon.data.Word

hashCode() - Method in class org.encog.matrix.Matrix

Compute a hash code for this matrix.

hashCode() - Method in class org.encog.neural.data.market.TickerSymbol

Generate a valid hash code.

hashCode() - Method in class org.encog.neural.networks.BasicNetwork

Generate a hash code.

hashCode() - Method in interface org.encog.neural.networks.Network

Generate a hash code.

hashCode() - Method in class org.encog.nlp.memory.Concept

hasNext() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet.BasicNeuralIterator

Is there more data for the iterator to read?

hasNext() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet.CSVNeuralIterator

Determine if there is more data to be read.

hasNext() - Method in class org.encog.neural.data.sql.SQLNeuralDataSet.SQLNeuralIterator

Returns true if there is more data to be read.

hasNext() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet.XMLNeuralIterator

Is there any more data to read?

hasThreshold() - Method in class org.encog.neural.networks.layers.BasicLayer

hasThreshold() - Method in interface org.encog.neural.networks.layers.Layer

hasType(WordType) - Method in class org.encog.nlp.lexicon.data.Word

hasType(String) - Method in class org.encog.parse.signal.Signal

hasWordType(Word, Lemma, WordType) - Method in class org.encog.nlp.lexicon.EncogLexicon

HiddenLayerParams - Class in org.encog.neural.prune

Specifies the minimum and maximum neuron counts for a layer.

HiddenLayerParams(int, int) - Constructor for class org.encog.neural.prune.HiddenLayerParams

Construct a hidden layer param object with the specified min and max values.

HopfieldPattern - Class in org.encog.neural.pattern

Create a Hopfield pattern.

HopfieldPattern() - Constructor for class org.encog.neural.pattern.HopfieldPattern

HOURS_DAY - Static variable in class org.encog.util.time.TimeSpan

Hours in a day.

HSQLUtil - Class in org.encog.util

Utilities for using the Hypersonic SQL (HSQL) engine.

HybridStrategy - Class in org.encog.neural.networks.training.strategy

A hybrid stragey allows a secondary training algorithm to be used.

HybridStrategy(Train) - Constructor for class org.encog.neural.networks.training.strategy.HybridStrategy

Construct a hybrid strategy with the default minimum improvement and toleration cycles.

HybridStrategy(Train, double, int, int) - Constructor for class org.encog.neural.networks.training.strategy.HybridStrategy

Create a hybrid strategy.

I

identity(int) - Static method in class org.encog.matrix.MatrixMath

Return an identity matrix of the specified size.

ImageNeuralData - Class in org.encog.neural.data.image

An extension of the BasicNeuralData class that is designed to hold images for input into a neural network.

ImageNeuralData(Image) - Constructor for class org.encog.neural.data.image.ImageNeuralData

Construct an object based on an image.

ImageNeuralDataSet - Class in org.encog.neural.data.image

Store a collection of images for training with a neural network.

ImageNeuralDataSet(Class<Downsample>, boolean) - Constructor for class org.encog.neural.data.image.ImageNeuralDataSet

Construct this class with the specified downsampler.

ImageSize - Class in org.encog.util

Simple class to determine the size of an image.

ImageSize(Image) - Constructor for class org.encog.util.ImageSize

Determine the size of an image.

imageUpdate(Image, int, int, int, int, int) - Method in class org.encog.util.ImageSize

The image has been updated.

INC_Y - Static variable in class org.encog.neural.pattern.PatternConst

How much to increase y by as the network grows.

IncrementalWorker - Class in org.encog.neural.prune

A worker for the incremental pruning process.

IncrementalWorker() - Constructor for class org.encog.neural.prune.IncrementalWorker

INDENT_X - Static variable in class org.encog.neural.pattern.PatternConst

How much to indent on the x-axis.

INDEX_FILE - Static variable in class org.encog.util.http.URLUtility

The name of the usual default document.

inferOutputLayer() - Method in class org.encog.neural.networks.BasicNetwork

Called to cause the network to attempt to infer which layer should be the output layer.

inferOutputLayer() - Method in interface org.encog.neural.networks.Network

Called to cause the network to attempt to infer which layer should be the output layer.

init(Spider) - Method in interface org.encog.bot.spider.SpiderReportable

Called when the spider is starting up.

init(Propagation) - Method in class org.encog.neural.networks.training.propagation.back.BackpropagationMethod

Setup this propagation method using the specified propagation class.

init(Propagation) - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagationMethod

Init with the specified propagation object.

init(Propagation) - Method in interface org.encog.neural.networks.training.propagation.PropagationMethod

Init with the specified propagation object.

init(Propagation) - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagationMethod

Init with the specified propagation object.

init(Train) - Method in class org.encog.neural.networks.training.strategy.Greedy

Initialize this strategy.

init(Train) - Method in class org.encog.neural.networks.training.strategy.HybridStrategy

Initialize this strategy.

init(Train) - Method in interface org.encog.neural.networks.training.Strategy

Initialize this strategy.

init(Train) - Method in class org.encog.neural.networks.training.strategy.ResetStrategy

Initialize this strategy.

init(Train) - Method in class org.encog.neural.networks.training.strategy.SmartLearningRate

Initialize this strategy.

init(Train) - Method in class org.encog.neural.networks.training.strategy.SmartMomentum

Initialize this strategy.

init(Train) - Method in class org.encog.neural.networks.training.strategy.StopTrainingStrategy

Initialize this strategy.

initGenes(int) - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

Init the genes array.

INITIAL_DEPTH - Static variable in class org.encog.parse.PeekableInputStream

The depth to peek.

Input - Class in org.encog.bot.browse.range

A form element that represents for input for text.

Input(WebPage) - Constructor for class org.encog.bot.browse.range.Input

Construct this Input element.

insert(int, Signal) - Method in class org.encog.parse.signal.Signal

is(String, boolean) - Method in class org.encog.parse.tags.read.ReadTags

Checks to see if the next tag is the tag specified.

isAutoSend() - Method in class org.encog.bot.browse.range.FormElement

isAutoSend() - Method in class org.encog.bot.browse.range.Input

isChar() - Method in class org.encog.parse.signal.Signal

isConnectedTo(Layer) - Method in class org.encog.neural.networks.layers.BasicLayer

Determine if this layer is connected to another layer.

isConnectedTo(Layer) - Method in interface org.encog.neural.networks.layers.Layer

Determine if this layer is connected to another.

isDefined(String) - Method in class org.encog.neural.data.PropertyData

Determine of the specified property is defined.

isEmpty() - Method in class org.encog.nlp.memory.AliasConcept

isEmpty() - Method in class org.encog.nlp.memory.Concept

isEmpty() - Method in class org.encog.nlp.memory.VarConcept

isExcluded(URL) - Method in class org.encog.bot.spider.filter.RobotsFilter

Check to see if the specified URL is to be excluded.

isExcluded(URL) - Method in interface org.encog.bot.spider.filter.SpiderFilter

Check to see if the specified URL is to be excluded.

isHidden(Layer) - Method in class org.encog.neural.networks.BasicNetwork

Determine if this layer is hidden.

isHidden(Layer) - Method in interface org.encog.neural.networks.Network

Determine if this layer is hidden.

isInput() - Method in class org.encog.neural.data.temporal.TemporalDataDescription

isInput(Layer) - Method in class org.encog.neural.networks.BasicNetwork

Determine if this layer is the input layer.

isInput(Layer) - Method in interface org.encog.neural.networks.Network

Determine if this layer is the input layer.

isNodeEmpty(int) - Method in class org.encog.nlp.memory.Relation

isOutput(Layer) - Method in class org.encog.neural.networks.BasicNetwork

Determine if this layer is the output layer.

isOutput(Layer) - Method in interface org.encog.neural.networks.Network

Determine if this layer is the output layer.

isPointInRange(TemporalPoint) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Is the specified point within the range.

isPost() - Method in class org.encog.nlp.lexicon.data.Fix

isPre() - Method in class org.encog.nlp.lexicon.data.Fix

isPredict() - Method in class org.encog.neural.data.temporal.TemporalDataDescription

isPreventRepeat() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Should repeating genes be prevented.

isSelfConnected() - Method in class org.encog.neural.networks.layers.BasicLayer

isSelfConnected() - Method in class org.encog.neural.networks.synapse.BasicSynapse

isSelfConnected() - Method in interface org.encog.neural.networks.synapse.Synapse

isSupervised() - Method in class org.encog.neural.data.basic.BasicNeuralDataPair

Determine if this data pair is supervised.

isSupervised() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Determine if this neural data set is supervied.

isSupervised() - Method in interface org.encog.neural.data.NeuralDataPair

isTargetEmpty() - Method in class org.encog.nlp.reason.EvaluateText

isTeachable() - Method in class org.encog.neural.networks.synapse.DirectSynapse

isTeachable() - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

isTeachable() - Method in interface org.encog.neural.networks.synapse.Synapse

isTeachable() - Method in class org.encog.neural.networks.synapse.WeightedSynapse

isTeachable() - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

isVector() - Method in class org.encog.matrix.Matrix

Determine if the matrix is a vector.

isWordOfType(WordType) - Method in class org.encog.nlp.lexicon.data.Word

isZero() - Method in class org.encog.matrix.Matrix

Return true if every value in the matrix is zero.

iterateLemmaList() - Method in class org.encog.nlp.lexicon.EncogLexicon

iterateWordList(int, int) - Method in class org.encog.nlp.lexicon.EncogLexicon

iteration() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

Perform one iteration of simulated annealing.

iteration() - Method in class org.encog.neural.networks.training.competitive.CompetitiveTraining

Perform one training iteration.

iteration() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

Perform one training iteration.

iteration() - Method in class org.encog.neural.networks.training.hopfield.TrainHopfield

Perform one training iteration.

iteration() - Method in class org.encog.neural.networks.training.propagation.Propagation

Perform one iteration of training.

iteration() - Method in interface org.encog.neural.networks.training.Train

Perform one iteration of training.

iteration() - Method in class org.encog.solve.anneal.SimulatedAnnealing

Called to perform one cycle of the annealing process.

iteration() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Modify the weight matrix and thresholds based on the last call to calcError.

iterator() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

Create an iterator for this collection.

iterator() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet

Get an iterator to use with the CSV data.

iterator() - Method in class org.encog.neural.data.sql.SQLNeuralDataSet

Get an iterator for this collection.

iterator() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet

J

JordanPattern - Class in org.encog.neural.pattern

This class is used to generate an Jordan style recurrent neural network.

JordanPattern() - Constructor for class org.encog.neural.pattern.JordanPattern

Construct an object to create a Jordan type neural network.

L

lastRelationAdd(Concept) - Method in class org.encog.nlp.reason.ParseActions

lastRelationAdd(String) - Method in class org.encog.nlp.reason.ParseActions

lastRelationAdd(int, Concept) - Method in class org.encog.nlp.reason.ParseActions

lastRelationAdd(int, String) - Method in class org.encog.nlp.reason.ParseActions

Layer - Interface in org.encog.neural.networks.layers

This interface defines all necessary methods for a neural network layer.

learn() - Method in class org.encog.neural.networks.training.propagation.back.BackpropagationMethod

Modify the weight matrix and thresholds based on the last call to calcError.

learn() - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagationMethod

Modify the weight matrix and thresholds based on the last call to calcError.

learn() - Method in interface org.encog.neural.networks.training.propagation.PropagationMethod

Apply the accumulated deltas and learn.

learn() - Method in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagationMethod

Modify the weight matrix and thresholds based on the last call to calcError.

LEARNING_DECAY - Static variable in class org.encog.neural.networks.training.strategy.SmartLearningRate

Learning decay rate.

LearningRate - Interface in org.encog.neural.networks.training

Specifies that a training algorithm has the concept of a learning rate.

Lemma - Class in org.encog.nlp.lexicon.data

Note: This class is part of the Encog Natural Language Processing(NLP) package.

Lemma() - Constructor for class org.encog.nlp.lexicon.data.Lemma

length() - Method in class org.encog.nlp.lexicon.data.Fix

length() - Method in class org.encog.nlp.lexicon.data.Word

Link - Class in org.encog.bot.browse.range

A document range that represents a hyperlink, and any embedded tags and text.

Link(WebPage) - Constructor for class org.encog.bot.browse.range.Link

Construct a link from the specified web page.

ListExtractListener - Class in org.encog.bot.browse.extract

A simple implementation of the ExtractListener interface that will listen for words and add them to a list.

ListExtractListener() - Constructor for class org.encog.bot.browse.extract.ListExtractListener

load(InputStream) - Method in class org.encog.bot.browse.LoadWebPage

Load a web page from the specified stream.

load(String) - Method in class org.encog.bot.browse.LoadWebPage

Load the web page from a string that contains HTML.

load(URL) - Method in class org.encog.bot.rss.RSS

Load all RSS data from the specified URL.

load(Node) - Method in class org.encog.bot.rss.RSSItem

Load an item from the specified node.

load(TickerSymbol, Set<MarketDataType>, Date, Date) - Method in interface org.encog.neural.data.market.loader.MarketLoader

Load the specified ticker symbol for the specified date.

load(TickerSymbol, Set<MarketDataType>, Date, Date) - Method in class org.encog.neural.data.market.loader.YahooFinanceLoader

Load the specified financial data.

load(Date, Date) - Method in class org.encog.neural.data.market.MarketNeuralDataSet

Load data from the loader.

load(VarConcept) - Method in class org.encog.nlp.memory.ConceptHolder

load(InputStream) - Method in class org.encog.nlp.memory.LongTermMemory

load(String) - Method in class org.encog.nlp.memory.LongTermMemory

load(LongTermMemory) - Static method in class org.encog.nlp.memory.RomMemory

load() - Method in class org.encog.parse.Parse

load(ReadXML) - Method in interface org.encog.persist.Persistor

Load from the specified node.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationBiPolarPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationGaussianPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationLinearPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationLOGPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationSigmoidPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationSINPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationSoftMaxPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ActivationTANHPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.BasicLayerPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.BasicNetworkPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.BasicNeuralDataSetPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ContextLayerPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.DirectSynapsePersistor

Load the specified Encog object from an XML reader.

load(ReadXML, EncogPersistedObject) - Method in class org.encog.persist.persistors.generic.XML2Object

Load an object from XML.

load(ReadXML) - Method in class org.encog.persist.persistors.OneToOneSynapsePersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.ParseTemplatePersistor

Load ParseTemplate object.

load(ReadXML) - Method in class org.encog.persist.persistors.PropertyDataPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

Load a RBF layer.

load(ReadXML) - Method in class org.encog.persist.persistors.TextDataPersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.WeightedSynapsePersistor

Load the specified Encog object from an XML reader.

load(ReadXML) - Method in class org.encog.persist.persistors.WeightlessSynapsePersistor

Load the specified Encog object from an XML reader.

load(String) - Static method in class org.encog.util.SerializeObject

Load an object.

loadCache() - Method in class org.encog.nlp.lexicon.EncogLexicon

loadContents() - Method in class org.encog.bot.browse.LoadWebPage

Using the data units, which should have already been loaded by this time, load the contents of the web page.

loadCookies(URLConnection) - Method in class org.encog.util.http.CookieUtility

Load any cookies from the specified URLConnection object.

loadDataUnits(InputStream) - Method in class org.encog.bot.browse.LoadWebPage

Load the data units.

loadDriver() - Static method in class org.encog.util.HSQLUtil

Load the driver for the memory database.

LoadedMarketData - Class in org.encog.neural.data.market.loader

This class contains market data that was loaded for a specific ticker symbol and a specific date.

LoadedMarketData(Date, TickerSymbol) - Constructor for class org.encog.neural.data.market.loader.LoadedMarketData

Construct one sample of market data.

LoaderError - Exception in org.encog.neural.data.market.loader

An error that occurs when financial data is being loaded.

LoaderError(String) - Constructor for exception org.encog.neural.data.market.loader.LoaderError

Construct a message exception.

LoaderError(Throwable) - Constructor for exception org.encog.neural.data.market.loader.LoaderError

Construct an exception that holds another exception.

loadFile(String) - Method in class org.encog.nlp.reason.ParseText

loadForm(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage

Called by loadContents to load a form on the page.

loadInput(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage

Called by loadContents to load an input tag on the form.

loadLink(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage

Called by loadContents to load a link on the page.

loadList(ReadXML) - Method in class org.encog.persist.persistors.generic.XML2Object

Load a list collection.

loadMatrix(ReadXML) - Static method in class org.encog.persist.persistors.PersistorUtil

Load a matrix from the reader.

loadObject(ReadXML, EncogPersistedObject) - Method in class org.encog.persist.persistors.generic.XML2Object

Load an object from XML.

loadTitle(int, Tag) - Method in class org.encog.bot.browse.LoadWebPage

Called by loadContents to load the title of the page.

LoadWebPage - Class in org.encog.bot.browse

Called to actually load a web page.

LoadWebPage(URL) - Constructor for class org.encog.bot.browse.LoadWebPage

Construct a web page loader with the specified base URL.

log(double) - Static method in class org.encog.util.math.BoundMath

Calculate the log.

Logging - Class in org.encog.util.logging

Provides simple logging access to the JDK logging system.

LongTermMemory - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

LongTermMemory() - Constructor for class org.encog.nlp.memory.LongTermMemory

M

makeAttribute(int, String) - Method in class org.encog.nlp.reason.ParseActions

makeSolid() - Method in class org.encog.nlp.memory.AliasConcept

makeSolid() - Method in class org.encog.nlp.memory.Concept

ManhattanPropagation - Class in org.encog.neural.networks.training.propagation.manhattan

One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.

ManhattanPropagation(BasicNetwork, NeuralDataSet, double) - Constructor for class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation

Construct a class to train with Manhattan propagation.

ManhattanPropagation(BasicNetwork, NeuralDataSet, double, double) - Constructor for class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation

Construct a Manhattan propagation training object.

ManhattanPropagationMethod - Class in org.encog.neural.networks.training.propagation.manhattan

Implements the specifics of the Manhattan propagation algorithm.

ManhattanPropagationMethod() - Constructor for class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagationMethod

MarketDataDescription - Class in org.encog.neural.data.market

This class is used to describe the type of financial data that is needed.

MarketDataDescription(TickerSymbol, MarketDataType, ActivationFunction, boolean, boolean) - Constructor for class org.encog.neural.data.market.MarketDataDescription

Construct a MarketDataDescription item.

MarketDataDescription(TickerSymbol, MarketDataType, boolean, boolean) - Constructor for class org.encog.neural.data.market.MarketDataDescription

Construct a MarketDataDescription item.

MarketDataType - Enum in org.encog.neural.data.market

The types of market data that can be used.

MarketError - Exception in org.encog.neural.data.market

Thrown when an error occurs processing market data.

MarketError(String) - Constructor for exception org.encog.neural.data.market.MarketError

Construct a message exception.

MarketError(Throwable) - Constructor for exception org.encog.neural.data.market.MarketError

Construct an exception that holds another exception.

MarketLoader - Interface in org.encog.neural.data.market.loader

This interface defines a class that can be used to load external financial data.

MarketNeuralDataSet - Class in org.encog.neural.data.market

A data set that is designed to hold market data.

MarketNeuralDataSet(MarketLoader, int, int) - Constructor for class org.encog.neural.data.market.MarketNeuralDataSet

Construct a market data set object.

MarketPoint - Class in org.encog.neural.data.market

Hold one market datapoint.

MarketPoint(Date, int) - Constructor for class org.encog.neural.data.market.MarketPoint

Construct a MarketPoint with the specified date and size.

mate(Chromosome<GENE_TYPE>, Chromosome<GENE_TYPE>, Chromosome<GENE_TYPE>) - Method in class org.encog.solve.genetic.Chromosome

Assuming this chromosome is the "mother" mate with the passed in "father".

MateWorker<GENE_TYPE> - Class in org.encog.solve.genetic

This class is used in conjunction with a thread pool.

MateWorker(Chromosome<GENE_TYPE>, Chromosome<GENE_TYPE>, Chromosome<GENE_TYPE>, Chromosome<GENE_TYPE>) - Constructor for class org.encog.solve.genetic.MateWorker

MathConst - Class in org.encog.util.math

Math constants needed by Encog.

Matrix - Class in org.encog.matrix

This class implements a mathematical matrix.

Matrix(boolean[][]) - Constructor for class org.encog.matrix.Matrix

Construct a bipolar matrix from an array of booleans.

Matrix(double[][]) - Constructor for class org.encog.matrix.Matrix

Create a matrix from an array of doubles.

Matrix(int, int) - Constructor for class org.encog.matrix.Matrix

Create a blank array with the specified number of rows and columns.

MatrixError - Exception in org.encog.matrix

Used by the matrix classes to indicate an error.

MatrixError(String) - Constructor for exception org.encog.matrix.MatrixError

Construct this exception with a message.

MatrixError(Throwable) - Constructor for exception org.encog.matrix.MatrixError

Construct this exception with another exception.

MatrixMath - Class in org.encog.matrix

This class can perform many different mathematical operations on matrixes.

MAX_LENGTH - Static variable in class org.encog.parse.tags.read.ReadTags

Maximum length string to read.

MAX_MOMENTUM - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum

The maximum value that momentum can go to.

MAX_PRECIS - Static variable in class org.encog.util.logging.DumpMatrix

Maximum precision.

MAXLINE - Static variable in class org.encog.bot.spider.filter.RobotsFilter

The maximum length of a line.

mergeObjects(PersistenceLocation, String) - Method in class org.encog.persist.PersistWriter

Merge the objects from this collection into the new one.

mergeTemp() - Method in class org.encog.persist.EncogPersistedCollection

Merge the temp file with the main one, call this to make any changes permanent.

MIN_IMPROVEMENT - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum

The minimum improvement to adjust momentum.

MINUTES_HOUR - Static variable in class org.encog.util.time.TimeSpan

Minutes in an hour.

modifyObject(PersistenceLocation, String, String, String) - Method in class org.encog.persist.PersistWriter

Modify the specified object, such as changing its name or description.

Momentum - Interface in org.encog.neural.networks.training

Specifies that a training algorithm has the concept of a momentum.

MOMENTUM_CYCLES - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum

How many cycles to accept before adjusting momentum.

MOMENTUM_INCREASE - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum

How much to increase momentum by.

MONTHS_YEAR - Static variable in class org.encog.util.time.TimeSpan

Months in a year.

multiply(double) - Method in class org.encog.matrix.Matrix

Multiply every value in the matrix by the specified value.

multiply(Matrix, double) - Static method in class org.encog.matrix.MatrixMath

Return the result of multiplying every cell in the matrix by the specified value.

multiply(Matrix, Matrix) - Static method in class org.encog.matrix.MatrixMath

Return the product of the first and second matrix.

MUST_USE_IMAGE - Static variable in class org.encog.neural.data.image.ImageNeuralDataSet

Error message to inform the caller that only ImageNeuralData objects can be used with this collection.

mutate() - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

Mutate this chromosome randomly.

mutate() - Method in class org.encog.solve.genetic.Chromosome

Called to mutate this chromosome.

N

navigate(Form) - Method in class org.encog.bot.browse.Browser

Navigate to the specified form by performing a submit of that form.

navigate(Form, Input) - Method in class org.encog.bot.browse.Browser

Navigate based on a form.

navigate(Link) - Method in class org.encog.bot.browse.Browser

Navigate to a new page based on a link.

navigate(String) - Method in class org.encog.bot.browse.Browser

Navigate based on a string URL.

navigate(URL) - Method in class org.encog.bot.browse.Browser

Navigate to a page based on a URL object.

navigate(URL, InputStream) - Method in class org.encog.bot.browse.Browser

Navigate to a page and post the specified data.

NEGATIVE_ETA - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

The NEGATIVE ETA value.

NeighborhoodBubble - Class in org.encog.neural.networks.training.competitive.neighborhood

A neighborhood function that uses a simple bubble.

NeighborhoodBubble(int) - Constructor for class org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodBubble

Create a bubble neighborhood function that will return 1.0 (full update) for any neuron that is plus or minus the width distance from the winning neuron.

NeighborhoodFunction - Interface in org.encog.neural.networks.training.competitive.neighborhood

Defines how a neighborhood function should work in competitive training.

NeighborhoodGaussian - Class in org.encog.neural.networks.training.competitive.neighborhood

A neighborhood function based on the Gaussian function.

NeighborhoodGaussian(RadialBasisFunction) - Constructor for class org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodGaussian

Construct the neighborhood function with the specified radial function.

NeighborhoodSingle - Class in org.encog.neural.networks.training.competitive.neighborhood

A very simple neighborhood function that will return 1.0 (full effect) for the winning neuron, and 0.0 (no change) for everything else.

NeighborhoodSingle() - Constructor for class org.encog.neural.networks.training.competitive.neighborhood.NeighborhoodSingle

Network - Interface in org.encog.neural.networks

Interface that defines a neural network.

NetworkCODEC - Class in org.encog.neural.networks

This class will extract the "long term memory" of a neural network, that is the weights and threshold values into an array.

NetworkPattern - Enum in org.encog.neural.prune

Specify which network pattern to use.

networkToArray(BasicNetwork) - Static method in class org.encog.neural.networks.NetworkCODEC

Convert to an array.

NeuralChromosome - Class in org.encog.neural.networks.training.genetic

Implements a chromosome that allows a feedforward neural network to be trained using a genetic algorithm.

NeuralChromosome() - Constructor for class org.encog.neural.networks.training.genetic.NeuralChromosome

NeuralData - Interface in org.encog.neural.data

Defines an array of data.

NeuralDataError - Exception in org.encog.neural.data

Used by the neural network classes to indicate an error.

NeuralDataError(String) - Constructor for exception org.encog.neural.data.NeuralDataError

Construct a message exception.

NeuralDataError(Throwable) - Constructor for exception org.encog.neural.data.NeuralDataError

Construct an exception that holds another exception.

NeuralDataPair - Interface in org.encog.neural.data

Training data is stored in two ways, depending on if the data is for supervised, or unsupervised training.

NeuralDataSet - Interface in org.encog.neural.data

An interface designed to abstract classes that store neural data.

NeuralGeneticAlgorithm - Class in org.encog.neural.networks.training.genetic

Implements a genetic algorithm that allows a feedforward neural network to be trained using a genetic algorithm.

NeuralGeneticAlgorithm() - Constructor for class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

Construct the training class.

NeuralNetworkError - Exception in org.encog.neural

Used by the neural network classes to indicate an error.

NeuralNetworkError(String) - Constructor for exception org.encog.neural.NeuralNetworkError

Construct a message exception.

NeuralNetworkError(Throwable) - Constructor for exception org.encog.neural.NeuralNetworkError

Construct an exception that holds another exception.

NeuralNetworkPattern - Interface in org.encog.neural.pattern

Patterns are used to create common sorts of neural networks.

NeuralOutputHolder - Class in org.encog.neural.networks

Holds the output from each layer of the neural network.

NeuralOutputHolder() - Constructor for class org.encog.neural.networks.NeuralOutputHolder

Construct an empty holder.

NeuralSimulatedAnnealing - Class in org.encog.neural.networks.training.anneal

This class implements a simulated annealing training algorithm for feed forward neural networks.

NeuralSimulatedAnnealing(BasicNetwork, NeuralDataSet, double, double, int) - Constructor for class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

Construct a simulated annleaing trainer for a feedforward neural network.

NeuralStructure - Class in org.encog.neural.networks

Holds "cached" information about the structure of the neural network.

NeuralStructure(BasicNetwork) - Constructor for class org.encog.neural.networks.NeuralStructure

Construct a structure object for the specified network.

newHost(String, String) - Method in class org.encog.bot.spider.filter.RobotsFilter

Called when a new host is to be processed.

newHost(String, String) - Method in interface org.encog.bot.spider.filter.SpiderFilter

Called when a new host is to be processed.

next() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet.BasicNeuralIterator

Read the next item.

next() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet.CSVNeuralIterator

Read the next record from the CSV file.

next() - Method in class org.encog.neural.data.sql.SQLNeuralDataSet.SQLNeuralIterator

Read the next row from the database.

next() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet.XMLNeuralIterator

Read the next training set item.

next() - Method in class org.encog.util.orm.ScrollingResult

Fetch the next object.

next() - Method in class org.encog.util.ReadCSV

Read the next line.

NLPError - Exception in org.encog.nlp

Note: This class is part of the Encog Natural Language Processing(NLP) package.

NLPError(String) - Constructor for exception org.encog.nlp.NLPError

Construct a message exception.

NLPError(Throwable) - Constructor for exception org.encog.nlp.NLPError

Construct an exception that holds another exception.

normalizeBinary(double) - Static method in class org.encog.matrix.BiPolarUtil

Normalize a binary number.

NormalizeInput - Class in org.encog.util

NormalizeInput: Input into a Self Organizing Map must be normalized.

NormalizeInput(NeuralData, NormalizeInput.NormalizationType) - Constructor for class org.encog.util.NormalizeInput

Normalize an input array into a matrix.

NormalizeInput.NormalizationType - Enum in org.encog.util

This class support two normalization types.

O

Object2XML - Class in org.encog.persist.persistors.generic

A generic class used to take an object and produce XML for it.

Object2XML() - Constructor for class org.encog.persist.persistors.generic.Object2XML

obtainLemma(String) - Method in class org.encog.nlp.lexicon.EncogLexicon

obtainLemmaForRoot(Word) - Method in class org.encog.nlp.lexicon.EncogLexicon

obtainWord(String) - Method in class org.encog.nlp.lexicon.EncogLexicon

OneToOneSynapse - Class in org.encog.neural.networks.synapse

A one-to-one synapse requires that the from and to layers have exactly the same number of neurons.

OneToOneSynapse() - Constructor for class org.encog.neural.networks.synapse.OneToOneSynapse

Simple default constructor.

OneToOneSynapse(Layer, Layer) - Constructor for class org.encog.neural.networks.synapse.OneToOneSynapse

Construct a one-to-one synapse between the two layers.

OneToOneSynapsePersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the OneToOneSynapse class.

OneToOneSynapsePersistor() - Constructor for class org.encog.persist.persistors.OneToOneSynapsePersistor

onFlushDirty(Object, Serializable, Object[], Object[], String[], Type[]) - Method in class org.encog.util.orm.DataObjectInterceptor

Called when a object is flushed.

onSave(Object, Serializable, Object[], String[], Type[]) - Method in class org.encog.util.orm.DataObjectInterceptor

Called when an object is saved.

openSession() - Method in class org.encog.util.orm.SessionManager

Open an ORM session.

org.encog - package org.encog

org.encog.bot - package org.encog.bot

org.encog.bot.browse - package org.encog.bot.browse

org.encog.bot.browse.extract - package org.encog.bot.browse.extract

org.encog.bot.browse.range - package org.encog.bot.browse.range

org.encog.bot.dataunit - package org.encog.bot.dataunit

org.encog.bot.rss - package org.encog.bot.rss

org.encog.bot.spider - package org.encog.bot.spider

org.encog.bot.spider.filter - package org.encog.bot.spider.filter

org.encog.matrix - package org.encog.matrix

org.encog.neural - package org.encog.neural

org.encog.neural.activation - package org.encog.neural.activation

org.encog.neural.data - package org.encog.neural.data

org.encog.neural.data.basic - package org.encog.neural.data.basic

org.encog.neural.data.bipolar - package org.encog.neural.data.bipolar

org.encog.neural.data.csv - package org.encog.neural.data.csv

org.encog.neural.data.image - package org.encog.neural.data.image

org.encog.neural.data.market - package org.encog.neural.data.market

org.encog.neural.data.market.loader - package org.encog.neural.data.market.loader

org.encog.neural.data.sql - package org.encog.neural.data.sql

org.encog.neural.data.temporal - package org.encog.neural.data.temporal

org.encog.neural.data.xml - package org.encog.neural.data.xml

org.encog.neural.networks - package org.encog.neural.networks

org.encog.neural.networks.layers - package org.encog.neural.networks.layers

org.encog.neural.networks.synapse - package org.encog.neural.networks.synapse

org.encog.neural.networks.training - package org.encog.neural.networks.training

org.encog.neural.networks.training.anneal - package org.encog.neural.networks.training.anneal

org.encog.neural.networks.training.competitive - package org.encog.neural.networks.training.competitive

org.encog.neural.networks.training.competitive.neighborhood - package org.encog.neural.networks.training.competitive.neighborhood

org.encog.neural.networks.training.genetic - package org.encog.neural.networks.training.genetic

org.encog.neural.networks.training.hopfield - package org.encog.neural.networks.training.hopfield

org.encog.neural.networks.training.propagation - package org.encog.neural.networks.training.propagation

org.encog.neural.networks.training.propagation.back - package org.encog.neural.networks.training.propagation.back

org.encog.neural.networks.training.propagation.manhattan - package org.encog.neural.networks.training.propagation.manhattan

org.encog.neural.networks.training.propagation.resilient - package org.encog.neural.networks.training.propagation.resilient

org.encog.neural.networks.training.strategy - package org.encog.neural.networks.training.strategy

org.encog.neural.pattern - package org.encog.neural.pattern

org.encog.neural.prune - package org.encog.neural.prune

org.encog.nlp - package org.encog.nlp

org.encog.nlp.lexicon - package org.encog.nlp.lexicon

org.encog.nlp.lexicon.data - package org.encog.nlp.lexicon.data

org.encog.nlp.memory - package org.encog.nlp.memory

org.encog.nlp.reason - package org.encog.nlp.reason

org.encog.parse - package org.encog.parse

org.encog.parse.recognize - package org.encog.parse.recognize

org.encog.parse.signal - package org.encog.parse.signal

org.encog.parse.signal.units - package org.encog.parse.signal.units

org.encog.parse.tags - package org.encog.parse.tags

org.encog.parse.tags.read - package org.encog.parse.tags.read

org.encog.parse.tags.write - package org.encog.parse.tags.write

org.encog.parse.units - package org.encog.parse.units

org.encog.persist - package org.encog.persist

org.encog.persist.location - package org.encog.persist.location

org.encog.persist.persistors - package org.encog.persist.persistors

org.encog.persist.persistors.generic - package org.encog.persist.persistors.generic

org.encog.solve.anneal - package org.encog.solve.anneal

org.encog.solve.genetic - package org.encog.solve.genetic

org.encog.util - package org.encog.util

org.encog.util.concurrency - package org.encog.util.concurrency

org.encog.util.downsample - package org.encog.util.downsample

org.encog.util.http - package org.encog.util.http

org.encog.util.logging - package org.encog.util.logging

org.encog.util.math - package org.encog.util.math

org.encog.util.math.rbf - package org.encog.util.math.rbf

org.encog.util.orm - package org.encog.util.orm

org.encog.util.randomize - package org.encog.util.randomize

org.encog.util.time - package org.encog.util.time

ORMError - Exception in org.encog.util.orm

General error class for Encog ORM.

ORMError(String) - Constructor for exception org.encog.util.orm.ORMError

Construct a message exception.

ORMError(Throwable) - Constructor for exception org.encog.util.orm.ORMError

Construct an exception that holds another exception.

ORMSession - Class in org.encog.util.orm

A Hibernate session.

ORMSession(Session) - Constructor for class org.encog.util.orm.ORMSession

Construct an ORMSession based on a Hibernate session.

P

pack(int, int, String) - Method in class org.encog.parse.signal.Signal

pack(int, int, String, Class<Signal>) - Method in class org.encog.parse.signal.Signal

parse(String) - Method in class org.encog.nlp.reason.EvaluateText

parse(String) - Method in class org.encog.nlp.reason.ParseText

Parse - Class in org.encog.parse

Encog's generic parser, used by the NLP package.

Parse() - Constructor for class org.encog.parse.Parse

parse(String) - Method in class org.encog.parse.Parse

parse() - Method in class org.encog.parse.signal.Signal

parse() - Method in class org.encog.parse.signal.units.Weight

parse(String) - Static method in class org.encog.util.http.FormUtility

Parse a URL query string.

ParseActions - Class in org.encog.nlp.reason

Note: This class is part of the Encog Natural Language Processing(NLP) package.

ParseActions(EncogNLP) - Constructor for class org.encog.nlp.reason.ParseActions

Creates a new instance of ParseActions

parseDate(String) - Static method in class org.encog.bot.rss.RSS

Simple utility function that converts a RSS formatted date into a Java date.

parseDate(String) - Static method in class org.encog.util.ReadCSV

Parse a date.

ParseError - Exception in org.encog.parse

Indicates an error has occured in one of the parsers.

ParseError(String) - Constructor for exception org.encog.parse.ParseError

Construct a message exception.

ParseError(Throwable) - Constructor for exception org.encog.parse.ParseError

Construct an exception that holds another exception.

parseFile(String) - Method in class org.encog.parse.Parse

parseString() - Method in class org.encog.parse.tags.read.ReadTags

Called to parse a double or single quote string.

parseTag() - Method in class org.encog.parse.tags.read.ReadTags

Called when a tag is detected.

ParseTemplate - Class in org.encog.parse

Allows templates to be specified for the parser.

ParseTemplate() - Constructor for class org.encog.parse.ParseTemplate

ParseTemplatePersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ParseTemplate class.

ParseTemplatePersistor() - Constructor for class org.encog.persist.persistors.ParseTemplatePersistor

ParseText - Class in org.encog.nlp.reason

Note: This class is part of the Encog Natural Language Processing(NLP) package.

ParseText(EncogNLP) - Constructor for class org.encog.nlp.reason.ParseText

Creates a new instance of ParseText

PatternConst - Class in org.encog.neural.pattern

GUI constants for creating the patterns.

PatternError - Exception in org.encog.neural.pattern

This class is thrown when an error occurs while using one of the neural network pattern classes.

PatternError(String) - Constructor for exception org.encog.neural.pattern.PatternError

Construct a message exception.

PatternError(Throwable) - Constructor for exception org.encog.neural.pattern.PatternError

Construct an exception that holds another exception.

peek() - Method in class org.encog.parse.PeekableInputStream

Peek at the next character from the stream.

peek(int) - Method in class org.encog.parse.PeekableInputStream

Peek at a specified depth.

peek(String) - Method in class org.encog.parse.PeekableInputStream

Peek ahead and see if the specified string is present.

PeekableInputStream - Class in org.encog.parse

This is a special input stream that allows the program to peek one or more characters ahead in the file.

PeekableInputStream(InputStream) - Constructor for class org.encog.parse.PeekableInputStream

The constructor accepts an InputStream to setup the object.

PersistenceLocation - Interface in org.encog.persist.location

A persistence location specifies how the persistence collection is stored.

PersistError - Exception in org.encog.persist

General error class for Encog persistance.

PersistError(String) - Constructor for exception org.encog.persist.PersistError

Construct a message exception.

PersistError(Throwable) - Constructor for exception org.encog.persist.PersistError

Construct an exception that holds another exception.

Persistor - Interface in org.encog.persist

This interface defines a class that can load and save an EncogPersistedObject.

PersistorUtil - Class in org.encog.persist.persistors

This class contains some utilities for persisting objects.

PersistReader - Class in org.encog.persist

Utility class for reading Encog persited object files.

PersistReader(PersistenceLocation) - Constructor for class org.encog.persist.PersistReader

Construct a persist reader.

PersistWriter - Class in org.encog.persist

Utility class for writing Encog persisted class files.

PersistWriter(PersistenceLocation) - Constructor for class org.encog.persist.PersistWriter

Create a writer for the specified location.

plural(TimeUnit) - Method in class org.encog.util.time.EnglishTimeUnitNames

Get the plural form for a TimeUnit.

plural(TimeUnit) - Method in interface org.encog.util.time.TimeUnitNames

Get the plural name for the specified time unit.

POSITIVE_ETA - Static variable in class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

The POSITIVE ETA value.

postIteration() - Method in class org.encog.neural.networks.training.BasicTraining

Call the strategies after an iteration.

postIteration() - Method in class org.encog.neural.networks.training.strategy.Greedy

Called just after a training iteration.

postIteration() - Method in class org.encog.neural.networks.training.strategy.HybridStrategy

Called just after a training iteration.

postIteration() - Method in interface org.encog.neural.networks.training.Strategy

Called just after a training iteration.

postIteration() - Method in class org.encog.neural.networks.training.strategy.ResetStrategy

Called just after a training iteration.

postIteration() - Method in class org.encog.neural.networks.training.strategy.SmartLearningRate

Called just after a training iteration.

postIteration() - Method in class org.encog.neural.networks.training.strategy.SmartMomentum

Called just after a training iteration.

postIteration() - Method in class org.encog.neural.networks.training.strategy.StopTrainingStrategy

Called just after a training iteration.

pow(double, double) - Static method in class org.encog.util.math.BoundMath

Calculate the power of a number.

preIteration() - Method in class org.encog.neural.networks.training.BasicTraining

Call the strategies before an iteration.

preIteration() - Method in class org.encog.neural.networks.training.strategy.Greedy

Called just before a training iteration.

preIteration() - Method in class org.encog.neural.networks.training.strategy.HybridStrategy

Called just before a training iteration.

preIteration() - Method in interface org.encog.neural.networks.training.Strategy

Called just before a training iteration.

preIteration() - Method in class org.encog.neural.networks.training.strategy.ResetStrategy

Called just before a training iteration.

preIteration() - Method in class org.encog.neural.networks.training.strategy.SmartLearningRate

Called just before a training iteration.

preIteration() - Method in class org.encog.neural.networks.training.strategy.SmartMomentum

Called just before a training iteration.

preIteration() - Method in class org.encog.neural.networks.training.strategy.StopTrainingStrategy

Called just before a training iteration.

process(URL) - Method in class org.encog.bot.spider.Spider

Process the specified URL.

process(NeuralData) - Method in class org.encog.neural.networks.layers.BasicLayer

Process the input pattern.

process(NeuralData) - Method in class org.encog.neural.networks.layers.ContextLayer

Called to process input from the previous layer.

process(NeuralData) - Method in interface org.encog.neural.networks.layers.Layer

Process the data before it is modified by this layer.

processBasicWord(String) - Method in class org.encog.nlp.reason.ParseActions

PROCESSED - Static variable in class org.encog.bot.spider.WorkloadStatus

The workload item has been processed successfully.

processImage(Image) - Method in interface org.encog.util.downsample.Downsample

Process the specified image.

processImage(Image) - Method in class org.encog.util.downsample.SimpleIntensityDownsample

Process the image and prepare it to be downsampled.

processTask(EncogTask) - Method in class org.encog.util.concurrency.EncogConcurrency

Process the specified task.

Propagation - Class in org.encog.neural.networks.training.propagation

Implements basic functionality that is needed by each of the propagation methods.

Propagation(BasicNetwork, PropagationMethod, NeuralDataSet) - Constructor for class org.encog.neural.networks.training.propagation.Propagation

Construct a propagation trainer.

PropagationLevel - Class in org.encog.neural.networks.training.propagation

Holds a level worth of information used by each of the propagation methods.

PropagationLevel(Propagation, Layer) - Constructor for class org.encog.neural.networks.training.propagation.PropagationLevel

Construct a propagation level.

PropagationLevel(Propagation, List<Synapse>) - Constructor for class org.encog.neural.networks.training.propagation.PropagationLevel

Construct a propagation level with a list of outgoing synapses.

PropagationMethod - Interface in org.encog.neural.networks.training.propagation

Defines the specifics to one of the propagation methods.

PropagationSynapse - Class in org.encog.neural.networks.training.propagation

The back propagation training algorithms requires training data to be stored for each of the synapses.

PropagationSynapse(Synapse) - Constructor for class org.encog.neural.networks.training.propagation.PropagationSynapse

Construct a PropagationSynapse object that corresponds to a specific synapse.

PROPERTY_CENTER - Static variable in class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

The center of the RBF.

PROPERTY_NEURONS - Static variable in class org.encog.persist.persistors.BasicLayerPersistor

The neurons property.

PROPERTY_PEAK - Static variable in class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

The peak of the RBF.

PROPERTY_RADIAL_FUNCTION - Static variable in class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

XML tag for the radial functions collection.

PROPERTY_RADIAL_FUNCTIONS - Static variable in class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

XML tag for the radial functions collection.

PROPERTY_THRESHOLD - Static variable in class org.encog.persist.persistors.BasicLayerPersistor

The threshold property.

PROPERTY_WIDTH - Static variable in class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

The width of the RBF.

PROPERTY_X - Static variable in class org.encog.persist.persistors.BasicLayerPersistor

The x-coordinate to place this object at.

PROPERTY_Y - Static variable in class org.encog.persist.persistors.BasicLayerPersistor

The y-coordinate to place this object at.

PropertyData - Class in org.encog.neural.data

An Encog data object that can be used to hold property data.

PropertyData() - Constructor for class org.encog.neural.data.PropertyData

PropertyDataPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the PropertyData class.

PropertyDataPersistor() - Constructor for class org.encog.persist.persistors.PropertyDataPersistor

prune(Layer, int) - Method in class org.encog.neural.prune.PruneSelective

Prune one of the neurons from this layer.

PruneIncremental - Class in org.encog.neural.prune

This class is used to help determine the optimal configuration for the hidden layers of a neural network.

PruneIncremental(NeuralDataSet, NeuralNetworkPattern) - Constructor for class org.encog.neural.prune.PruneIncremental

Construct an object to determine the optimal number of hidden layers and neurons for the specified training data and pattern.

PruneSelective - Class in org.encog.neural.prune

Prune a neural network selectivly.

PruneSelective(BasicNetwork) - Constructor for class org.encog.neural.prune.PruneSelective

Construct an object prune the neural network.

putArray(UNIT_TYPE[]) - Method in class org.encog.solve.anneal.SimulatedAnnealing

Store the array.

PWD - Static variable in class org.encog.util.HSQLUtil

The password to use for the memory database.

Q

query3(RelationHolder) - Method in class org.encog.nlp.reason.Reason

QUEUED - Static variable in class org.encog.bot.spider.WorkloadStatus

The workload item is waiting to be processed.

R

RadialBasisFunction - Interface in org.encog.util.math.rbf

Provides a generic interface to a radial basis function (RBF).

RadialBasisFunctionLayer - Class in org.encog.neural.networks.layers

This layer type makes use of several radial basis function to scale the output from this layer.

RadialBasisFunctionLayer() - Constructor for class org.encog.neural.networks.layers.RadialBasisFunctionLayer

Default constructor, mainly so the workbench can easily create a default layer.

RadialBasisFunctionLayer(int) - Constructor for class org.encog.neural.networks.layers.RadialBasisFunctionLayer

Construct a radial basis function layer.

RadialBasisFunctionLayerPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the RadialBasisFunctionLayer class.

RadialBasisFunctionLayerPersistor() - Constructor for class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

RadialBasisPattern - Class in org.encog.neural.pattern

A radial basis function (RBF) network uses several radial basis functions to provide a more dynamic hidden layer activation function than many other types of neural network.

RadialBasisPattern() - Constructor for class org.encog.neural.pattern.RadialBasisPattern

RANDOM_LENGTH - Static variable in class org.encog.util.http.FormUtility

The length of random string to create for multipart.

randomize() - Method in class org.encog.solve.anneal.SimulatedAnnealing

Randomize the weight matrix.

randomize(BasicNetwork) - Method in class org.encog.util.randomize.BasicRandomizer

Randomize the synapses and thresholds in the basic network based on an array, modify the array.

randomize(double[]) - Method in class org.encog.util.randomize.BasicRandomizer

Randomize the array based on an array, modify the array.

randomize(Double[]) - Method in class org.encog.util.randomize.BasicRandomizer

Randomize the array based on an array, modify the array.

randomize(double[][]) - Method in class org.encog.util.randomize.BasicRandomizer

Randomize the 2d array based on an array, modify the array.

randomize(Double[][]) - Method in class org.encog.util.randomize.BasicRandomizer

Randomize the 2d array based on an array, modify the array.

randomize(Matrix) - Method in class org.encog.util.randomize.BasicRandomizer

Randomize the matrix based on an array, modify the array.

randomize(double) - Method in class org.encog.util.randomize.Distort

Distort the random number by the factor that was specified in the constructor.

randomize(BasicNetwork) - Method in class org.encog.util.randomize.FanInRandomizer

Randomize the synapses and thresholds in the basic network based on an array, modify the array.

randomize(double) - Method in class org.encog.util.randomize.FanInRandomizer

Starting with the specified number, randomize it to the degree specified by this randomizer.

randomize(double[]) - Method in class org.encog.util.randomize.FanInRandomizer

Randomize the array based on an array, modify the array.

randomize(Double[]) - Method in class org.encog.util.randomize.FanInRandomizer

Randomize the array based on an array, modify the array.

randomize(double[][]) - Method in class org.encog.util.randomize.FanInRandomizer

Randomize the 2d array based on an array, modify the array.

randomize(Double[][]) - Method in class org.encog.util.randomize.FanInRandomizer

Randomize the 2d array based on an array, modify the array.

randomize(Matrix) - Method in class org.encog.util.randomize.FanInRandomizer

Randomize the matrix based on an array, modify the array.

randomize(double) - Method in interface org.encog.util.randomize.Randomizer

Starting with the specified number, randomize it to the degree specified by this randomizer.

randomize(double[]) - Method in interface org.encog.util.randomize.Randomizer

Randomize the array based on an array, modify the array.

randomize(Double[]) - Method in interface org.encog.util.randomize.Randomizer

Randomize the array based on an array, modify the array.

randomize(double[][]) - Method in interface org.encog.util.randomize.Randomizer

Randomize the 2d array based on an array, modify the array.

randomize(Double[][]) - Method in interface org.encog.util.randomize.Randomizer

Randomize the 2d array based on an array, modify the array.

randomize(Matrix) - Method in interface org.encog.util.randomize.Randomizer

Randomize the matrix based on an array, modify the array.

randomize(BasicNetwork) - Method in interface org.encog.util.randomize.Randomizer

Randomize the synapses and thresholds in the basic network based on an array, modify the array.

randomize(double, double) - Static method in class org.encog.util.randomize.RangeRandomizer

Generate a random number in the specified range.

randomize(double) - Method in class org.encog.util.randomize.RangeRandomizer

Generate a random number based on the range specified in the constructor.

randomizeGaussianCentersAndWidths(double, double) - Method in class org.encog.neural.networks.layers.RadialBasisFunctionLayer

Set the gausian components to random values.

Randomizer - Interface in org.encog.util.randomize

Defines the interface for a class that is capable of randomizing the weights and thresholds of a neural network.

randomString() - Static method in class org.encog.util.http.FormUtility

Generate a random string, of a specified length.

RangeRandomizer - Class in org.encog.util.randomize

A randomizer that will create random weight and threshold values that are between a specified range.

RangeRandomizer(double, double) - Constructor for class org.encog.util.randomize.RangeRandomizer

Construct a range randomizer.

read() - Method in class org.encog.bot.spider.SpiderInputStream

Read a single byte from the stream.

read() - Method in class org.encog.bot.spider.SpiderParseHTML

Read a single character.

read() - Method in class org.encog.parse.PeekableInputStream

Read a single byte from the stream.

read() - Method in class org.encog.parse.tags.read.ReadTags

Read a single character from the HTML source, if this function returns zero(0) then you should call getTag to see what tag was found.

readAll() - Method in class org.encog.bot.spider.SpiderParseHTML

Read all characters on the page.

ReadCSV - Class in org.encog.util

Read and parse CSV format files.

ReadCSV(InputStream, boolean, char) - Constructor for class org.encog.util.ReadCSV

Construct a CSV reader from an input stream.

ReadCSV(String, boolean, char) - Constructor for class org.encog.util.ReadCSV

Construct a CSV reader from a filename.

ReadHTML - Class in org.encog.parse.tags.read

This class is designed to parse HTML documents.

ReadHTML(InputStream) - Constructor for class org.encog.parse.tags.read.ReadHTML

Construct a HTML reader.

readIntToTag() - Method in class org.encog.parse.tags.read.ReadXML

Read an integer that is contained between the current position, and the next tag.

readNextTag(String) - Method in class org.encog.persist.PersistReader

Read until the next tag of the specified name.

readNextText(String) - Method in class org.encog.persist.PersistReader

Read all text until the specified ending tag is found.

readObject(String) - Method in class org.encog.persist.PersistReader

Read the specific object, search through the objects until its found.

readPropertyBlock() - Method in class org.encog.parse.tags.read.ReadXML

Read all property data until an end tag, which corrisponds to the current tag, is found.

readStream(InputStream) - Static method in class org.encog.util.Directory

Read the entire contents of a stream into a string.

ReadTags - Class in org.encog.parse.tags.read

Base class used to read tags.

ReadTags(InputStream) - Constructor for class org.encog.parse.tags.read.ReadTags

The constructor should be passed an InputStream that we will parse from.

readTextFile(String) - Static method in class org.encog.util.Directory

Read the entire contents of a stream into a string.

readTextToTag() - Method in class org.encog.parse.tags.read.ReadXML

Read all text between the current position and the next tag.

readToTag() - Method in class org.encog.parse.tags.read.ReadTags

Read until we reach the next tag.

readValue(String) - Method in class org.encog.persist.PersistReader

Read the value in a period delimited string.

ReadXML - Class in org.encog.parse.tags.read

This class is designed to read XML.

ReadXML(InputStream) - Constructor for class org.encog.parse.tags.read.ReadXML

Construct an XML reader.

Reason - Class in org.encog.nlp.reason

Note: This class is part of the Encog Natural Language Processing(NLP) package.

Reason(EncogNLP) - Constructor for class org.encog.nlp.reason.Reason

Creates a new instance of Reason

Recognize - Class in org.encog.parse.recognize

Holds the template of something that the parser should recognize.

Recognize() - Constructor for class org.encog.parse.recognize.Recognize

Recognize(String) - Constructor for class org.encog.parse.recognize.Recognize

recognize(Signal) - Method in class org.encog.parse.recognize.Recognize

recognize(Signal) - Method in class org.encog.parse.recognize.RecognizeElement

RecognizeElement - Class in org.encog.parse.recognize

An individual element of what the parser should recognize, these are helid in the Recognize class.

RecognizeElement() - Constructor for class org.encog.parse.recognize.RecognizeElement

recognizeIteration(Signal) - Method in class org.encog.parse.recognize.Recognize

recur() - Method in class org.encog.neural.networks.layers.BasicLayer

Get the output from this layer when called in a recurrent manor.

recur() - Method in class org.encog.neural.networks.layers.ContextLayer

Called to get the output from this layer when called in a recurrent manor.

recur() - Method in interface org.encog.neural.networks.layers.Layer

Called on recurrent layers to provide recurrent output.

registerGutenbergCount(String, int) - Method in class org.encog.nlp.lexicon.EncogLexicon

registerWikiCount(String, int) - Method in class org.encog.nlp.lexicon.EncogLexicon

Relation - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

Relation() - Constructor for class org.encog.nlp.memory.Relation

Creates a new instance of Relation

Relation(Concept, Concept, Concept) - Constructor for class org.encog.nlp.memory.Relation

RELATION_NODE_NONE - Static variable in class org.encog.nlp.memory.Relation

RELATION_NODE_SOURCE - Static variable in class org.encog.nlp.memory.Relation

RELATION_NODE_TARGET - Static variable in class org.encog.nlp.memory.Relation

RELATION_NODE_TYPE - Static variable in class org.encog.nlp.memory.Relation

RelationHolder - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

RelationHolder() - Constructor for class org.encog.nlp.memory.RelationHolder

Creates a new instance of RelationHolder

remove() - Method in class org.encog.neural.data.basic.BasicNeuralDataSet.BasicNeuralIterator

Removes are not supported.

remove() - Method in class org.encog.neural.data.csv.CSVNeuralDataSet.CSVNeuralIterator

Removes are not supported.

remove(String) - Method in class org.encog.neural.data.PropertyData

Remove the specified property.

remove() - Method in class org.encog.neural.data.sql.SQLNeuralDataSet.SQLNeuralIterator

Removes are not supported.

remove() - Method in class org.encog.neural.data.xml.XMLNeuralDataSet.XMLNeuralIterator

Remove this iterator.

REMOVE_NOT_SUPPORTED - Static variable in class org.encog.neural.data.sql.SQLNeuralDataSet

Error message: removes are not supported.

removeFix(Word, Fix) - Method in class org.encog.nlp.lexicon.EncogLexicon

removeListener(ExtractListener) - Method in class org.encog.bot.browse.extract.BasicExtract

Remove the specified listener.

removeListener(ExtractListener) - Method in interface org.encog.bot.browse.extract.Extract

Remove the specified listener.

renameTo(PersistenceLocation) - Method in class org.encog.persist.location.FilePersistence

Rename this file to a different location.

renameTo(PersistenceLocation) - Method in interface org.encog.persist.location.PersistenceLocation

Attempt to rename this location.

renameTo(PersistenceLocation) - Method in class org.encog.persist.location.ResourcePersistence

Rename is not supported for resource persistence.

replaceLastRelation(List<Relation>) - Method in class org.encog.nlp.reason.EvaluateText

replaceRelations(List<Relation>) - Method in class org.encog.nlp.memory.RelationHolder

reset() - Method in class org.encog.neural.networks.BasicNetwork

Reset the weight matrix and the thresholds.

reset() - Method in interface org.encog.neural.networks.Network

Reset the weight matrix and the thresholds.

reset() - Method in class org.encog.util.ErrorCalculation

Reset the error accumulation to zero.

resetDelta() - Method in class org.encog.parse.signal.Signal

ResetStrategy - Class in org.encog.neural.networks.training.strategy

The reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles.

ResetStrategy(double, int) - Constructor for class org.encog.neural.networks.training.strategy.ResetStrategy

Construct a reset strategy.

ResilientPropagation - Class in org.encog.neural.networks.training.propagation.resilient

One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.

ResilientPropagation(BasicNetwork, NeuralDataSet) - Constructor for class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

Construct a resilient training object.

ResilientPropagation(BasicNetwork, NeuralDataSet, double, double, double) - Constructor for class org.encog.neural.networks.training.propagation.resilient.ResilientPropagation

Construct a resilient training object, allow the training parameters to be specified.

ResilientPropagationMethod - Class in org.encog.neural.networks.training.propagation.resilient

Implements the specifics of the resilient propagation training algorithm.

ResilientPropagationMethod() - Constructor for class org.encog.neural.networks.training.propagation.resilient.ResilientPropagationMethod

resolveAlias(String) - Method in class org.encog.parse.units.UnitManager

Resolve the specified alias.

RESOURCE_ITEM_NAME - Static variable in class org.encog.parse.Parse

RESOURCE_NAME - Static variable in class org.encog.parse.Parse

ResourcePersistence - Class in org.encog.persist.location

A location that allows Encog objects to be read from a resource.

ResourcePersistence(String) - Constructor for class org.encog.persist.location.ResourcePersistence

Construct a location to read from the specified resource.

RobotsFilter - Class in org.encog.bot.spider.filter

This filter causes the spider to skip URL's from a robots.txt file.

RobotsFilter() - Constructor for class org.encog.bot.spider.filter.RobotsFilter

rollback() - Method in class org.encog.util.orm.ORMSession

Rollback this transaction.

RomMemory - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

RomMemory() - Constructor for class org.encog.nlp.memory.RomMemory

Creates a new instance of RomMemory

ROW - Static variable in class org.encog.persist.persistors.PersistorUtil

A matrix row.

RSOMPattern - Class in org.encog.neural.pattern

A recurrent self organizing map is a self organizing map that has a recurrent context connection on the hidden layer.

RSOMPattern() - Constructor for class org.encog.neural.pattern.RSOMPattern

RSS - Class in org.encog.bot.rss

This is the class that actually parses the RSS and builds a collection of RSSItems.

RSS() - Constructor for class org.encog.bot.rss.RSS

RSSItem - Class in org.encog.bot.rss

This is the class that holds individual RSS items, or stories, for the RSS class.

RSSItem() - Constructor for class org.encog.bot.rss.RSSItem

run() - Method in class org.encog.bot.spider.SpiderWorker

Perform the actual work.

run() - Method in class org.encog.neural.prune.IncrementalWorker

Perform the next task.

run() - Method in class org.encog.solve.genetic.MateWorker

Mate the two chromosomes.

S

save() - Method in class org.encog.nlp.memory.AliasConcept

save(OutputStream) - Method in class org.encog.nlp.memory.LongTermMemory

save(String) - Method in class org.encog.nlp.memory.LongTermMemory

save() - Method in class org.encog.nlp.memory.Relation

save() - Method in class org.encog.nlp.memory.VarConcept

save(EncogPersistedObject, WriteXML) - Method in interface org.encog.persist.Persistor

Save the specified object.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationBiPolarPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationGaussianPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationLinearPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationLOGPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationSigmoidPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationSINPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationSoftMaxPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ActivationTANHPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.BasicLayerPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.BasicNetworkPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.BasicNeuralDataSetPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ContextLayerPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.DirectSynapsePersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.generic.Object2XML

Save the object to XML.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.OneToOneSynapsePersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.ParseTemplatePersistor

Save the parse template.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.PropertyDataPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.RadialBasisFunctionLayerPersistor

Save a RBF layer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.TextDataPersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.WeightedSynapsePersistor

Save the specified Encog object to an XML writer.

save(EncogPersistedObject, WriteXML) - Method in class org.encog.persist.persistors.WeightlessSynapsePersistor

Save the specified Encog object to an XML writer.

save(DataObject) - Method in class org.encog.util.orm.ORMSession

Save the specified object.

save(String, Serializable) - Static method in class org.encog.util.SerializeObject

Save the specified object.

saveCookies(URLConnection) - Method in class org.encog.util.http.CookieUtility

Once you have loaded cookies with loadCookies, you can call saveCookies to copy these cookies to a new HTTP request.

saveMatrix(Matrix, WriteXML) - Static method in class org.encog.persist.persistors.PersistorUtil

Save the specified matrix.

saveModified(WriteXML, String, String, String) - Method in class org.encog.persist.PersistReader

Modify the properties of this object.

saveTo(WriteXML, String) - Method in class org.encog.persist.PersistReader

Save all objects to the specified steam, skip the one specified by the skip parameter.

ScrollingResult - Class in org.encog.util.orm

Used to manage large (scrolled) results from Hibernate.

ScrollingResult(Query) - Constructor for class org.encog.util.orm.ScrollingResult

Construct a scrolling results object.

search(String) - Method in class org.encog.util.YahooSearch

Called to extract a list from the specified URL.

searchShort(Concept) - Method in class org.encog.nlp.reason.Reason

searchSource(Concept) - Method in class org.encog.nlp.memory.RelationHolder

searchSourceType(Concept, Concept) - Method in class org.encog.nlp.memory.RelationHolder

searchSourceType(Concept, Concept) - Method in class org.encog.nlp.reason.Reason

searchSourceTypeBase(Concept, Concept) - Method in class org.encog.nlp.memory.RelationHolder

searchTypeTarget(Concept, Concept) - Method in class org.encog.nlp.memory.RelationHolder

SECONDS_MINUTE - Static variable in class org.encog.util.time.TimeSpan

Seconds in a minute.

SerializeObject - Class in org.encog.util

Load or save an object using Java serialization.

SessionManager - Class in org.encog.util.orm

This is the manager class for Encog database object relation mapping(ORM).

SessionManager() - Constructor for class org.encog.util.orm.SessionManager

Construct a new session manager.

SessionManager(AnnotationConfiguration) - Constructor for class org.encog.util.orm.SessionManager

Construct a session manager using annotation config.

SessionManager(String) - Constructor for class org.encog.util.orm.SessionManager

Construct a session manager using the specified HSQL path.

SessionManager(String, String, String, String, String) - Constructor for class org.encog.util.orm.SessionManager

Construct a session manager from the specified connect info.

set(double) - Method in class org.encog.matrix.Matrix

Set every value in the matrix to the specified value.

set(int, int, double) - Method in class org.encog.matrix.Matrix

Set an individual cell in the matrix to the specified value.

set(String, String) - Method in class org.encog.neural.data.PropertyData

Set the specified property.

setAction(Address) - Method in class org.encog.bot.browse.range.Form

Set the action for the form.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.networks.layers.BasicLayer

Set the activation function for this layer.

setActivationFunction(ActivationFunction) - Method in interface org.encog.neural.networks.layers.Layer

Set a new activation function for this layer.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.ElmanPattern

Set the activation function to use on each of the layers.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.FeedForwardPattern

Set the activation function to use on each of the layers.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.HopfieldPattern

Set the activation function to use.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.JordanPattern

Set the activation function to use on each of the layers.

setActivationFunction(ActivationFunction) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern

Set the activation function to be used for all created layers that allow an activation function to be specified.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.RadialBasisPattern

Set the activation function, this is an error.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.RSOMPattern

Set the activation function.

setActivationFunction(ActivationFunction) - Method in class org.encog.neural.pattern.SOMPattern

Set the activation function.

setAlias(String) - Method in class org.encog.nlp.lexicon.data.Alias

setAttribute(String, String) - Method in class org.encog.parse.tags.Tag

Set a HTML attribute.

setBegin(int) - Method in class org.encog.bot.browse.range.DocumentRange

Set the beginning index.

setChromosome(int, Chromosome<GENE_TYPE>) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the specified chromosome.

setChromosomes(Chromosome<GENE_TYPE>[]) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the entire population.

setClassAttribute(String) - Method in class org.encog.bot.browse.range.DocumentRange

setCode(String) - Method in class org.encog.bot.dataunit.CodeDataUnit

Set the code to the specified string.

setCode(String) - Method in class org.encog.nlp.lexicon.data.WordType

setConsoleLevel(Level) - Static method in class org.encog.util.logging.Logging

Set the logging level for console.

setCost(double) - Method in class org.encog.solve.genetic.Chromosome

Set the cost for this chromosome.

setCreated(Date) - Method in class org.encog.util.orm.DataObject

Set the create date for this object.

setCurrentPage(WebPage) - Method in class org.encog.bot.browse.Browser

Set the current page.

setCutLength(int) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the cut length.

setCycles(int) - Method in class org.encog.solve.anneal.SimulatedAnnealing

setData(double[]) - Method in class org.encog.neural.data.basic.BasicNeuralData

Set the entire data array.

setData(int, double) - Method in class org.encog.neural.data.basic.BasicNeuralData

Set the data element specified by the index.

setData(List<NeuralDataPair>) - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

setData(double[]) - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

Store the array.

setData(int, boolean) - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

Set the specified index of this object as a boolean.

setData(int, double) - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

Set the specified index of this object as a double.

setData(MarketDataType, double) - Method in class org.encog.neural.data.market.loader.LoadedMarketData

Set financial data for this date.

setData(double[]) - Method in interface org.encog.neural.data.NeuralData

Set all of the data as an array of doubles.

setData(int, double) - Method in interface org.encog.neural.data.NeuralData

Set the specified element.

setData(double[]) - Method in class org.encog.neural.data.temporal.TemporalPoint

setData(int, double) - Method in class org.encog.neural.data.temporal.TemporalPoint

Set the data at the specified index.

setDate(Date) - Method in class org.encog.bot.rss.RSSItem

Set the publication date.

setDelta(int, double) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Set the specified delta value.

setDepth(int) - Method in class org.encog.bot.spider.WorkloadItem

Set the depth of this workload.

setDescription(String) - Method in class org.encog.bot.rss.RSSItem

Get the description.

setDescription(String) - Method in class org.encog.matrix.Matrix

Set the description for this object.

setDescription(String) - Method in class org.encog.neural.activation.BasicActivationFunction

Ignore the description, it is not used for activation functions.

setDescription(String) - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

setDescription(String) - Method in class org.encog.neural.data.PropertyData

Set the description for this object.

setDescription(String) - Method in class org.encog.neural.data.TextData

Set the description of this object.

setDescription(String) - Method in class org.encog.neural.networks.BasicNetwork

Set the description for this object.

setDescription(String) - Method in class org.encog.neural.networks.layers.BasicLayer

setDescription(String) - Method in interface org.encog.neural.networks.Network

Set the description for this object.

setDescription(String) - Method in class org.encog.neural.networks.synapse.BasicSynapse

The EncogPersistedObject requires a name and description, however, these are not used on synapses.

setDescription(String) - Method in class org.encog.parse.ParseTemplate

setDescription(String) - Method in interface org.encog.persist.EncogPersistedObject

Set the description of this object.

setDesiredSetSize(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

setEnd(int) - Method in class org.encog.bot.browse.range.DocumentRange

Set the ending index.

setError(double) - Method in class org.encog.neural.networks.training.BasicTraining

setError(double) - Method in interface org.encog.neural.networks.training.Train

setError(double) - Method in class org.encog.solve.anneal.SimulatedAnnealing

Set the error.

setEvaluate(EvaluateText) - Method in class org.encog.nlp.EncogNLP

setFromLayer(Layer) - Method in class org.encog.neural.networks.synapse.BasicSynapse

Set the from layer for this synapse.

setFromLayer(Layer) - Method in interface org.encog.neural.networks.synapse.Synapse

Set the from layer for this synapse.

setGene(int, GENE_TYPE) - Method in class org.encog.solve.genetic.Chromosome

Set the specified gene's value.

setGenes(Double[]) - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

Set all genes.

setGenes(Double[]) - Method in class org.encog.neural.networks.training.genetic.TrainingSetNeuralChromosome

Set all genes.

setGenes(GENE_TYPE[]) - Method in class org.encog.solve.genetic.Chromosome

Set the entire gene array.

setGenesDirect(GENE_TYPE[]) - Method in class org.encog.solve.genetic.Chromosome

Set the genes directly, not allowed to be overridden.

setGenetic(NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper) - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

Set the genetic helper class.

setGeneticAlgorithm(GeneticAlgorithm<GENE_TYPE>) - Method in class org.encog.solve.genetic.Chromosome

Set the genetic algorithm.

setGutenbergCount(int) - Method in class org.encog.nlp.lexicon.data.Word

setHighSequence(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

setHost(String) - Method in class org.encog.bot.spider.WorkloadItem

The host of this workload.

setIdAttribute(String) - Method in class org.encog.bot.browse.range.DocumentRange

setIgnore(boolean) - Method in class org.encog.parse.recognize.Recognize

setIgnore(boolean) - Method in class org.encog.parse.signal.Signal

setImage(Image) - Method in class org.encog.neural.data.image.ImageNeuralData

setIndex(int) - Method in class org.encog.neural.data.temporal.TemporalDataDescription

setInputLayer(Layer) - Method in class org.encog.neural.networks.BasicNetwork

Define the input layer for the network.

setInputLayer(Layer) - Method in interface org.encog.neural.networks.Network

Define the input layer for the network.

setInputNeurons(int) - Method in class org.encog.neural.pattern.ElmanPattern

Set the number of input neurons.

setInputNeurons(int) - Method in class org.encog.neural.pattern.FeedForwardPattern

Set the number of input neurons.

setInputNeurons(int) - Method in class org.encog.neural.pattern.HopfieldPattern

Set the number of input neurons, this must match the output neurons.

setInputNeurons(int) - Method in class org.encog.neural.pattern.JordanPattern

Set the number of input neurons.

setInputNeurons(int) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern

Set the number of input neurons.

setInputNeurons(int) - Method in class org.encog.neural.pattern.RadialBasisPattern

Set the number of input neurons.

setInputNeurons(int) - Method in class org.encog.neural.pattern.RSOMPattern

Set the input neuron count.

setInputNeurons(int) - Method in class org.encog.neural.pattern.SOMPattern

Set the input neuron count.

setInputWindowSize(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

setLastMatrixGradients(Matrix) - Method in class org.encog.neural.networks.training.propagation.PropagationSynapse

Set the matrix gradients.

setLastThresholdGradient(int, double) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Set the threshold gradient from the last iteration.

setLastUpdate(Date) - Method in class org.encog.util.orm.DataObject

Set the last update date.

setLearningRate(double) - Method in class org.encog.neural.networks.training.competitive.CompetitiveTraining

Set the learning rate.

setLearningRate(double) - Method in interface org.encog.neural.networks.training.LearningRate

Set the learning rate.

setLearningRate(double) - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation

Set the learning rate, this is value is essentially a percent.

setLearningRate(double) - Method in class org.encog.neural.networks.training.propagation.manhattan.ManhattanPropagation

Set the learning rate.

setLemma(Lemma) - Method in class org.encog.nlp.lexicon.data.Word

setLink(String) - Method in class org.encog.bot.rss.RSSItem

Set the hyperlink.

setLowSequence(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

setMatingPopulation(double) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the mating population percent.

setMatrix(Matrix) - Method in class org.encog.neural.networks.synapse.DirectSynapse

Attempt to set the matrix for this layer.

setMatrix(Matrix) - Method in class org.encog.neural.networks.synapse.OneToOneSynapse

Attempt to set the matrix for this layer.

setMatrix(Matrix) - Method in interface org.encog.neural.networks.synapse.Synapse

Assign a new weight and threshold matrix to this layer.

setMatrix(Matrix) - Method in class org.encog.neural.networks.synapse.WeightedSynapse

Assign a new weight and threshold matrix to this layer.

setMatrix(Matrix) - Method in class org.encog.neural.networks.synapse.WeightlessSynapse

Attempt to set the matrix for this layer.

setMaxThreads(int) - Method in class org.encog.util.concurrency.EncogConcurrency

Set the maximum number of threads to use.

setMemory(LongTermMemory) - Method in class org.encog.nlp.EncogNLP

setMethod(Form.Method) - Method in class org.encog.bot.browse.range.Form

Set the method to send the form.

setMomentum(double) - Method in interface org.encog.neural.networks.training.Momentum

Set the momentum.

setMomentum(double) - Method in class org.encog.neural.networks.training.propagation.back.Backpropagation

Set the momentum for training.

setMutationPercent(double) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the mutation percent.

setName(String) - Method in class org.encog.bot.browse.range.FormElement

Set the name of this form element.

setName(String) - Method in class org.encog.matrix.Matrix

setName(String) - Method in class org.encog.neural.activation.BasicActivationFunction

Ignore the name, it is not used for activation functions.

setName(String) - Method in class org.encog.neural.data.basic.BasicNeuralDataSet

setName(String) - Method in class org.encog.neural.data.PropertyData

Set the name of this property.

setName(String) - Method in class org.encog.neural.data.TextData

Set the name of this object.

setName(String) - Method in class org.encog.neural.networks.BasicNetwork

setName(String) - Method in class org.encog.neural.networks.layers.BasicLayer

setName(String) - Method in interface org.encog.neural.networks.Network

setName(String) - Method in class org.encog.neural.networks.synapse.BasicSynapse

The EncogPersistedObject requires a name and description, however, these are not used on synapses.

setName(String) - Method in class org.encog.parse.ParseTemplate

setName(String) - Method in class org.encog.parse.recognize.RecognizeElement

setName(String) - Method in class org.encog.parse.signal.Signal

setName(String) - Method in class org.encog.parse.tags.Tag

Set the tag name.

setName(String) - Method in interface org.encog.persist.EncogPersistedObject

Set the name of this object.

setNetwork(BasicNetwork) - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

setNeuronCount(int) - Method in class org.encog.neural.networks.layers.BasicLayer

Set the neuron count.

setNeuronCount(int) - Method in interface org.encog.neural.networks.layers.Layer

Set the neuron count, this will NOT adjust the synapses, or thresholds other code must do that.

setNode(int, Concept) - Method in class org.encog.nlp.memory.Relation

setNode(Concept) - Method in class org.encog.nlp.memory.Relation

setOutput(NeuralData) - Method in class org.encog.neural.networks.NeuralOutputHolder

Set the output.

setOutputLayer(Layer) - Method in class org.encog.neural.networks.BasicNetwork

setOutputLayer(Layer) - Method in interface org.encog.neural.networks.Network

setOutputNeurons(int) - Method in class org.encog.neural.pattern.ElmanPattern

Set the number of output neurons.

setOutputNeurons(int) - Method in class org.encog.neural.pattern.FeedForwardPattern

Set the number of output neurons.

setOutputNeurons(int) - Method in class org.encog.neural.pattern.HopfieldPattern

Set the number of output neurons, should not be used with a hopfield neural network, because the number of input neurons defines the number of output neurons.

setOutputNeurons(int) - Method in class org.encog.neural.pattern.JordanPattern

Set the number of output neurons.

setOutputNeurons(int) - Method in interface org.encog.neural.pattern.NeuralNetworkPattern

Set the number of output neurons.

setOutputNeurons(int) - Method in class org.encog.neural.pattern.RadialBasisPattern

Set the number of output neurons.

setOutputNeurons(int) - Method in class org.encog.neural.pattern.RSOMPattern

Set the output neuron count.

setOutputNeurons(int) - Method in class org.encog.neural.pattern.SOMPattern

Set the output neuron count.

setOutputStream(OutputStream) - Method in class org.encog.bot.spider.SpiderInputStream

Set the OutputStream.

setOwner(Form) - Method in class org.encog.bot.browse.range.FormElement

Set the owner of this form element.

setParent(DocumentRange) - Method in class org.encog.bot.browse.range.DocumentRange

Set the parent.

setParse(Parse) - Method in class org.encog.nlp.EncogNLP

setPercentToMate(double) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the percent to mate.

setPopulationSize(int) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the population size.

setPre(boolean) - Method in class org.encog.nlp.lexicon.data.Fix

setPredictWindowSize(int) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

setPreventRepeat(boolean) - Method in class org.encog.solve.genetic.GeneticAlgorithm

Set the gene.

setRoot(Word) - Method in class org.encog.nlp.lexicon.data.Lemma

setSequence(int) - Method in class org.encog.neural.data.temporal.TemporalPoint

setSequenceGrandularity(TimeUnit) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

setSession(ORMSession) - Method in class org.encog.Encog

Set the ORM session that Encog is to use.

setShouldReplace(int) - Method in class org.encog.nlp.memory.Relation

setSignalClass(Class) - Method in class org.encog.parse.recognize.Recognize

setSource(WebPage) - Method in class org.encog.bot.browse.range.DocumentRange

Set the source web page.

setSource(WorkloadItem) - Method in class org.encog.bot.spider.WorkloadItem

Set the source of this workload, null for top level.

setSource(Concept) - Method in class org.encog.nlp.memory.Relation

setStartingPoint(Date) - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

setStartTemperature(double) - Method in class org.encog.solve.anneal.SimulatedAnnealing

setStatus(char) - Method in class org.encog.bot.spider.WorkloadItem

Set the status of this workload.

setStopTemperature(double) - Method in class org.encog.solve.anneal.SimulatedAnnealing

setTag(Tag) - Method in class org.encog.bot.dataunit.TagDataUnit

Set the tag that this data unit is based on.

setTarget(Address) - Method in class org.encog.bot.browse.range.Link

Set the target of this link.

setTarget(Concept) - Method in class org.encog.nlp.memory.Relation

setTargetConcept(VarConcept) - Method in class org.encog.nlp.memory.AliasConcept

setTemperature(double) - Method in class org.encog.solve.anneal.SimulatedAnnealing

setText(String) - Method in class org.encog.bot.dataunit.TextDataUnit

Set the text for this data unit.

setText(String) - Method in class org.encog.neural.data.TextData

Set the text held by this object.

setText(String) - Method in class org.encog.nlp.lexicon.data.Fix

setText(String) - Method in class org.encog.nlp.lexicon.data.Word

setThreshold(double[]) - Method in class org.encog.neural.networks.layers.BasicLayer

Set the threshold array.

setThreshold(int, double) - Method in class org.encog.neural.networks.layers.BasicLayer

Set the specified threshold value.

setThreshold(double[]) - Method in interface org.encog.neural.networks.layers.Layer

Set the threshold array for this layer.

setThreshold(int, double) - Method in interface org.encog.neural.networks.layers.Layer

Set an individual threshold value.

setThresholdDelta(int, double) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Set the specified threshold delta.

setThresholdGradient(int, double) - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

Set the specified threshold gradient to the specified value.

setTimeout(int) - Method in class org.encog.bot.spider.Spider

St the HTTP timeout.

setTitle(DocumentRange) - Method in class org.encog.bot.browse.WebPage

Set the title of this document.

setTitle(String) - Method in class org.encog.bot.rss.RSSItem

Set the item title.

setToLayer(Layer) - Method in class org.encog.neural.networks.synapse.BasicSynapse

Set the target layer from this synapse.

setToLayer(Layer) - Method in interface org.encog.neural.networks.synapse.Synapse

Set the target layer from this synapse.

setTraining(NeuralDataSet) - Method in class org.encog.neural.networks.training.BasicTraining

Set the training object that this strategy is working with.

setType(String) - Method in class org.encog.bot.browse.range.Input

Set the type of this input element.

setType(WordType) - Method in class org.encog.nlp.lexicon.data.WordTypePossibility

setType(Concept) - Method in class org.encog.nlp.memory.Relation

setType(String) - Method in class org.encog.parse.AcceptedSignal

setType(String) - Method in class org.encog.parse.recognize.RecognizeElement

setType(Tag.Type) - Method in class org.encog.parse.tags.Tag

Set the tag type.

setUnitMananger(UnitManager) - Static method in class org.encog.parse.Parse

setUnits(UnitManager) - Method in class org.encog.nlp.EncogNLP

setupWord(Word) - Method in class org.encog.nlp.lexicon.EncogLexicon

setUrl(String) - Method in class org.encog.bot.spider.WorkloadItem

Set the URL for this workload.

setUserAgent(String) - Method in class org.encog.bot.spider.Spider

Set the user agent.

setUses(Collection<Word>) - Method in class org.encog.nlp.lexicon.data.Lemma

setValue(String) - Method in class org.encog.bot.browse.range.FormElement

Set the value for this form element.

setValue(String) - Method in class org.encog.parse.AcceptedSignal

setWikiCount(int) - Method in class org.encog.nlp.lexicon.data.Word

setWord(Word) - Method in class org.encog.nlp.lexicon.data.Alias

setWord(Word) - Method in class org.encog.nlp.lexicon.data.WordTypePossibility

setWordType(WordType) - Method in class org.encog.nlp.lexicon.data.Fix

setX(int) - Method in class org.encog.neural.networks.layers.BasicLayer

Set the x coordinate for this layer.

setX(int) - Method in interface org.encog.neural.networks.layers.Layer

Set the x coordinate.

setY(int) - Method in class org.encog.neural.networks.layers.BasicLayer

Set the y coordinate for this layer.

setY(int) - Method in interface org.encog.neural.networks.layers.Layer

Set the y coordinate.

shouldStop() - Method in class org.encog.neural.networks.training.strategy.StopTrainingStrategy

shutdown() - Static method in class org.encog.util.HSQLUtil

Shutdown the database.

side(int, Concept, Concept) - Method in class org.encog.nlp.reason.ParseActions

Signal - Class in org.encog.parse.signal

Patterns that the parser should recognize are stored in signals.

Signal() - Constructor for class org.encog.parse.signal.Signal

Signal(char) - Constructor for class org.encog.parse.signal.Signal

Signal(String) - Constructor for class org.encog.parse.signal.Signal

SimpleIntensityDownsample - Class in org.encog.util.downsample

Downsample an image using a simple intensity scale.

SimpleIntensityDownsample(Image) - Constructor for class org.encog.util.downsample.SimpleIntensityDownsample

Construct the downsample utility for the specified image.

SimulatedAnnealing<UNIT_TYPE> - Class in org.encog.solve.anneal

Simulated annealing is a common training method.

SimulatedAnnealing() - Constructor for class org.encog.solve.anneal.SimulatedAnnealing

sin(double) - Static method in class org.encog.util.math.BoundMath

Calculate the sin.

singular(TimeUnit) - Method in class org.encog.util.time.EnglishTimeUnitNames

Get the singular form for a TimeUnit.

singular(TimeUnit) - Method in interface org.encog.util.time.TimeUnitNames

Get the singular form of the specified time unit.

size() - Method in class org.encog.matrix.Matrix

Get the size of the array.

size() - Method in class org.encog.neural.data.basic.BasicNeuralData

Get the number of data elements present.

size() - Method in class org.encog.neural.data.bipolar.BiPolarNeuralData

Get the size of this data object.

size() - Method in interface org.encog.neural.data.NeuralData

size() - Method in class org.encog.neural.data.PropertyData

size() - Method in class org.encog.parse.signal.Signal

skip(long) - Method in class org.encog.parse.PeekableInputStream

Skip the specified number of bytes.

SmartLearningRate - Class in org.encog.neural.networks.training.strategy

Attempt to automatically set the learning rate in a learning method that supports a learning rate.

SmartLearningRate() - Constructor for class org.encog.neural.networks.training.strategy.SmartLearningRate

SmartMomentum - Class in org.encog.neural.networks.training.strategy

Attempt to automatically set a momentum in a training algorithm that supports momentum.

SmartMomentum() - Constructor for class org.encog.neural.networks.training.strategy.SmartMomentum

SOMPattern - Class in org.encog.neural.pattern

A self organizing map is a neural network pattern with an input and output layer.

SOMPattern() - Constructor for class org.encog.neural.pattern.SOMPattern

sortChromosomes() - Method in class org.encog.solve.genetic.GeneticAlgorithm

Sort the chromosomes.

sortPoints() - Method in class org.encog.neural.data.temporal.TemporalNeuralDataSet

Sort the points.

Span - Class in org.encog.bot.browse.range

A document range that specifies a span tag, and any embedded tags.

Span(WebPage) - Constructor for class org.encog.bot.browse.range.Span

Construct a span range from the specified web page.

SPECIAL_CHAR_LIMIT - Static variable in class org.encog.util.http.URLUtility

Beyond this number are special chars.

Spider - Class in org.encog.bot.spider

A spider is a special sort of bot that crawls the pages on a web site.

Spider(SessionManager, SpiderReportable) - Constructor for class org.encog.bot.spider.Spider

Construct a new spider.

SpiderError - Exception in org.encog.bot.spider

General error class for Encog spider.

SpiderError(String) - Constructor for exception org.encog.bot.spider.SpiderError

Construct a message exception.

SpiderError(Throwable) - Constructor for exception org.encog.bot.spider.SpiderError

Construct an exception that holds another exception.

SpiderFilter - Interface in org.encog.bot.spider.filter

Filters will cause the spider to skip URL's.

spiderFoundURL(URL, URL, SpiderReportable.URLType) - Method in interface org.encog.bot.spider.SpiderReportable

Called when the spider encounters a URL.

SpiderInputStream - Class in org.encog.bot.spider

This class is used by the spider to both parse and save an InputStream.

SpiderInputStream(InputStream, OutputStream) - Constructor for class org.encog.bot.spider.SpiderInputStream

Construct the SpiderInputStream.

SpiderParseHTML - Class in org.encog.bot.spider

This class layers on top of the ParseHTML class and allows the spider to extract what link information it needs.

SpiderParseHTML(WorkloadItem, SpiderInputStream, Spider) - Constructor for class org.encog.bot.spider.SpiderParseHTML

Construct a SpiderParseHTML object.

spiderProcessURL(URL, InputStream) - Method in interface org.encog.bot.spider.SpiderReportable

Called when the spider is about to process a NON-HTML URL.

spiderProcessURL(URL, SpiderParseHTML) - Method in interface org.encog.bot.spider.SpiderReportable

Called when the spider is ready to process an HTML URL.

SpiderReportable - Interface in org.encog.bot.spider

This interface defines a class that the spider can report its findings to.

SpiderReportable.URLType - Enum in org.encog.bot.spider

The types of link that can be encountered.

spiderURLError(URL) - Method in interface org.encog.bot.spider.SpiderReportable

Called when the spider tries to process a URL but gets an error.

SpiderWorker - Class in org.encog.bot.spider

The SpiderWorker class implements the EncogTask interface.

SpiderWorker(Spider, WorkloadItem) - Constructor for class org.encog.bot.spider.SpiderWorker

Construct a worker.

split() - Method in class org.encog.nlp.reason.ParseActions

SQLNeuralDataSet - Class in org.encog.neural.data.sql

A dataset based on a SQL query.

SQLNeuralDataSet(String, int, int, String, String, String, String, String) - Constructor for class org.encog.neural.data.sql.SQLNeuralDataSet

Construct a SQL dataset.

SQLNeuralDataSet.SQLNeuralIterator - Class in org.encog.neural.data.sql

Iterator used to iterate over SQL results.

SQLNeuralDataSet.SQLNeuralIterator() - Constructor for class org.encog.neural.data.sql.SQLNeuralDataSet.SQLNeuralIterator

Construct an iterator.

sqrt(double) - Static method in class org.encog.util.math.BoundMath

Calculate the square root.

START_MOMENTUM - Static variable in class org.encog.neural.networks.training.strategy.SmartMomentum

The starting momentum.

START_X - Static variable in class org.encog.neural.pattern.PatternConst

The starting x-coordinate.

START_Y - Static variable in class org.encog.neural.pattern.PatternConst

The starting y-coordinate.

startsWith(String) - Method in class org.encog.nlp.lexicon.data.Word

stopConsoleLogging() - Static method in class org.encog.util.logging.Logging

Stop logging to the console.

StopTrainingStrategy - Class in org.encog.neural.networks.training.strategy

This strategy will indicate once training is no longer improving the neural network by a specified amount, over a specified number of cycles.

StopTrainingStrategy() - Constructor for class org.encog.neural.networks.training.strategy.StopTrainingStrategy

Construct the strategy with default options.

StopTrainingStrategy(double, int) - Constructor for class org.encog.neural.networks.training.strategy.StopTrainingStrategy

Construct the strategy with the specified parameters.

Strategy - Interface in org.encog.neural.networks.training

Training strategies can be added to training algorithms.

string2double(String) - Static method in class org.encog.util.math.Convert

Convert a string to a double.

string2int(String) - Static method in class org.encog.util.math.Convert

Convert a string to an int.

subtract(Matrix, Matrix) - Static method in class org.encog.matrix.MatrixMath

Return the results of subtracting one matrix from another.

sum() - Method in class org.encog.matrix.Matrix

Sum all of the values in the matrix.

Synapse - Interface in org.encog.neural.networks.synapse

A synapse is the connection between two layers of a neural network.

SynapseType - Enum in org.encog.neural.networks.synapse

Specifies the type of synapse to be created.

T

Tag - Class in org.encog.parse.tags

HTMLTag: This class holds a single HTML tag.

Tag() - Constructor for class org.encog.parse.tags.Tag

Tag.Type - Enum in org.encog.parse.tags

Tag types.

TAG_ACTIVATION - Static variable in class org.encog.persist.persistors.BasicLayerPersistor

The activation function tag.

TAG_IDEAL - Static variable in class org.encog.persist.persistors.BasicNeuralDataSetPersistor

THe ideal tag.

TAG_INPUT - Static variable in class org.encog.persist.persistors.BasicNeuralDataSetPersistor

The input tag.

TAG_ITEM - Static variable in class org.encog.persist.persistors.BasicNeuralDataSetPersistor

The item tag.

TAG_LAYER - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The layer synapse.

TAG_LAYERS - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The layers tag.

TAG_OBJECTS - Static variable in class org.encog.persist.PersistReader

The objects tag.

TAG_PROPERTIES - Static variable in class org.encog.persist.persistors.PropertyDataPersistor

The properties tag.

TAG_PROPERTY - Static variable in class org.encog.persist.persistors.PropertyDataPersistor

The property tag.

TAG_SYNAPSE - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The synapse tag.

TAG_SYNAPSES - Static variable in class org.encog.persist.persistors.BasicNetworkPersistor

The synapses tag.

TAG_WEIGHTS - Static variable in class org.encog.persist.persistors.WeightedSynapsePersistor

The weights tag.

TagConst - Class in org.encog.parse.tags

Constants to use while parsing the tags.

TagDataUnit - Class in org.encog.bot.dataunit

A data unit that holds a tag.

TagDataUnit() - Constructor for class org.encog.bot.dataunit.TagDataUnit

TemporalDataDescription - Class in org.encog.neural.data.temporal

This class describes one unit of input, or output, to a temporal neural network.

TemporalDataDescription(ActivationFunction, double, double, TemporalDataDescription.Type, boolean, boolean) - Constructor for class org.encog.neural.data.temporal.TemporalDataDescription

Construct a data description item.

TemporalDataDescription(ActivationFunction, TemporalDataDescription.Type, boolean, boolean) - Constructor for class org.encog.neural.data.temporal.TemporalDataDescription

Construct a data description with an activation function, but no range.

TemporalDataDescription(TemporalDataDescription.Type, boolean, boolean) - Constructor for class org.encog.neural.data.temporal.TemporalDataDescription

Construct a data description with no activation function or range.

TemporalDataDescription.Type - Enum in org.encog.neural.data.temporal

The type of data requested.

TemporalError - Exception in org.encog.neural.data.temporal

Error occured processing temporal data.

TemporalError(String) - Constructor for exception org.encog.neural.data.temporal.TemporalError

Construct a message exception.

TemporalError(Throwable) - Constructor for exception org.encog.neural.data.temporal.TemporalError

Construct an exception that holds another exception.

TemporalNeuralDataSet - Class in org.encog.neural.data.temporal

This class implements a temporal neural data set.

TemporalNeuralDataSet(int, int) - Constructor for class org.encog.neural.data.temporal.TemporalNeuralDataSet

Construct a dataset.

TemporalPoint - Class in org.encog.neural.data.temporal

A temporal point is all of the data captured at one point in time to be used for prediction.

TemporalPoint(int) - Constructor for class org.encog.neural.data.temporal.TemporalPoint

Construct a temporal point of the specified size.

TextData - Class in org.encog.neural.data

An Encog object that can hold text data.

TextData() - Constructor for class org.encog.neural.data.TextData

TextDataPersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the TextData class.

TextDataPersistor() - Constructor for class org.encog.persist.persistors.TextDataPersistor

TextDataUnit - Class in org.encog.bot.dataunit

A data unit that holds text.

TextDataUnit() - Constructor for class org.encog.bot.dataunit.TextDataUnit

throwError(String) - Static method in class org.encog.persist.EncogPersistedCollection

Throw and log an error.

TickerSymbol - Class in org.encog.neural.data.market

Holds a ticker symbol and exchange.

TickerSymbol(String) - Constructor for class org.encog.neural.data.market.TickerSymbol

Construct a ticker symbol with no exchange.

TickerSymbol(String, String) - Constructor for class org.encog.neural.data.market.TickerSymbol

Construct a ticker symbol with exchange.

TIMEOUT - Static variable in class org.encog.solve.genetic.GeneticAlgorithm

Threadpool timeout.

TimeSpan - Class in org.encog.util.time

A timespan between two Dates.

TimeSpan(Date, Date) - Constructor for class org.encog.util.time.TimeSpan

Construct a time span.

TimeUnit - Enum in org.encog.util.time

Time units.

TimeUnitNames - Interface in org.encog.util.time

Get the name or code for a time unit.

toArray(double) - Static method in class org.encog.neural.activation.ActivationUtil

Take a single value and create an array that holds it.

toBinary(double) - Static method in class org.encog.matrix.BiPolarUtil

Convert bipolar to binary.

toBiPolar(double) - Static method in class org.encog.matrix.BiPolarUtil

Convert binary to bipolar.

toCommas(StringBuilder, double[]) - Static method in class org.encog.util.ReadCSV

Convert an array of doubles to a comma separated list.

toNormalizedBinary(double) - Static method in class org.encog.matrix.BiPolarUtil

Convert to binary and normalize.

TOO_BIG - Static variable in class org.encog.util.math.BoundNumbers

Too big of a number.

TOO_SMALL - Static variable in class org.encog.util.math.BoundNumbers

Too small of a number.

toPackedArray() - Method in class org.encog.matrix.Matrix

Convert the matrix into a packed array.

toString() - Method in class org.encog.bot.browse.Address

toString() - Method in class org.encog.bot.browse.range.Div

toString() - Method in class org.encog.bot.browse.range.DocumentRange

toString() - Method in class org.encog.bot.browse.range.Form

toString() - Method in class org.encog.bot.browse.range.Input

toString() - Method in class org.encog.bot.browse.range.Link

toString() - Method in class org.encog.bot.browse.range.Span

toString() - Method in class org.encog.bot.browse.WebPage

toString() - Method in class org.encog.bot.dataunit.CodeDataUnit

toString() - Method in class org.encog.bot.dataunit.TagDataUnit

toString() - Method in class org.encog.bot.dataunit.TextDataUnit

toString() - Method in class org.encog.bot.rss.RSS

Convert the object to a String.

toString() - Method in class org.encog.bot.rss.RSSItem

Convert the object to a String.

toString() - Method in class org.encog.bot.spider.WorkloadItem

toString() - Method in class org.encog.matrix.Matrix

toString() - Method in class org.encog.neural.data.basic.BasicNeuralData

Return a string representation of this object.

toString() - Method in class org.encog.neural.data.basic.BasicNeuralDataPair

Convert the object to a string.

toString() - Method in class org.encog.neural.data.temporal.TemporalPoint

Convert this point to string form.

toString() - Method in class org.encog.neural.networks.BasicNetwork

toString() - Method in class org.encog.neural.networks.layers.BasicLayer

toString() - Method in interface org.encog.neural.networks.Network

toString() - Method in class org.encog.neural.networks.synapse.BasicSynapse

toString() - Method in class org.encog.neural.networks.training.propagation.PropagationLevel

toString() - Method in class org.encog.neural.networks.training.propagation.PropagationSynapse

toString() - Method in class org.encog.nlp.lexicon.data.Alias

toString() - Method in class org.encog.nlp.lexicon.data.Fix

toString() - Method in class org.encog.nlp.lexicon.data.Lemma

toString() - Method in class org.encog.nlp.lexicon.data.Word

toString() - Method in class org.encog.nlp.lexicon.data.WordType

toString() - Method in class org.encog.nlp.lexicon.data.WordTypePossibility

toString() - Method in class org.encog.nlp.memory.AliasConcept

toString() - Method in class org.encog.nlp.memory.ConstConcept

toString() - Method in class org.encog.nlp.memory.Relation

toString() - Method in class org.encog.nlp.memory.VarConcept

toString() - Method in class org.encog.parse.recognize.Recognize

toString() - Method in class org.encog.parse.recognize.RecognizeElement

toString() - Method in class org.encog.parse.signal.Signal

toString() - Method in class org.encog.parse.signal.units.Weight

toString() - Method in class org.encog.parse.tags.read.ReadTags

toString() - Method in class org.encog.parse.tags.Tag

Convert this tag back into string form, with the beginning < and ending >.

toString() - Method in class org.encog.solve.genetic.Chromosome

Convert the chromosome to a string.

Train - Interface in org.encog.neural.networks.training

Interface for all neural network training methods.

TrainHopfield - Class in org.encog.neural.networks.training.hopfield

This class is used to train a Hopfield neural network.

TrainHopfield(NeuralDataSet, BasicNetwork) - Constructor for class org.encog.neural.networks.training.hopfield.TrainHopfield

Construct a Hopfield training class.

trainHopfieldSynapse(Synapse, NeuralData) - Method in class org.encog.neural.networks.training.hopfield.TrainHopfield

Train the neural network for the specified pattern.

TrainingSetNeuralChromosome - Class in org.encog.neural.networks.training.genetic

Implements a chromosome that allows a feedforward neural network to be trained using a genetic algorithm.

TrainingSetNeuralChromosome(TrainingSetNeuralGeneticAlgorithm, BasicNetwork) - Constructor for class org.encog.neural.networks.training.genetic.TrainingSetNeuralChromosome

The constructor, takes a list of cities to set the initial "genes" to.

TrainingSetNeuralGeneticAlgorithm - Class in org.encog.neural.networks.training.genetic

Implements a genetic algorithm that allows a neural network to be trained using a genetic algorithm.

TrainingSetNeuralGeneticAlgorithm(BasicNetwork, Randomizer, NeuralDataSet, int, double, double) - Constructor for class org.encog.neural.networks.training.genetic.TrainingSetNeuralGeneticAlgorithm

Construct a training object.

transpose(Matrix) - Static method in class org.encog.matrix.MatrixMath

Return the transposition of a matrix.

TYPE_BASIC_LAYER - Static variable in class org.encog.persist.EncogPersistedCollection

The type is BasicLayer.

TYPE_BASIC_NET - Static variable in class org.encog.persist.EncogPersistedCollection

The type is BasicNetwork.

TYPE_CONTEXT_LAYER - Static variable in class org.encog.persist.EncogPersistedCollection

The type is ContextLayer.

TYPE_DIRECT_SYNAPSE - Static variable in class org.encog.persist.EncogPersistedCollection

The type is DirectSynapse.

TYPE_ONE2ONE_SYNAPSE - Static variable in class org.encog.persist.EncogPersistedCollection

The type is OneToOneSynapse.

TYPE_PARSE_TEMPLATE - Static variable in class org.encog.persist.EncogPersistedCollection

The type is ParseTemplate.

TYPE_PROPERTY - Static variable in class org.encog.persist.EncogPersistedCollection

The type is PropertyData.

TYPE_QUERY - Static variable in class org.encog.nlp.reason.EvaluateText

TYPE_RADIAL_BASIS_LAYER - Static variable in class org.encog.persist.EncogPersistedCollection

The type is RadialBasisFunctionLayer.

TYPE_STATEMENT - Static variable in class org.encog.nlp.reason.EvaluateText

TYPE_TEXT - Static variable in class org.encog.persist.EncogPersistedCollection

The type is TextData.

TYPE_TRAINING - Static variable in class org.encog.persist.EncogPersistedCollection

The type is TrainingData.

TYPE_WEIGHTED_SYNAPSE - Static variable in class org.encog.persist.EncogPersistedCollection

The type is WeightedSynapse.

TYPE_WEIGHTLESS_SYNAPSE - Static variable in class org.encog.persist.EncogPersistedCollection

The type is WeightlessSynapse.

TYPE_YESNO - Static variable in class org.encog.nlp.reason.EvaluateText

U

UID - Static variable in class org.encog.util.HSQLUtil

The user id to use for the memory database.

UnitConversion - Class in org.encog.parse.units

Used to provide unit conversion for the parser.

UnitConversion(String, String, double, double, double) - Constructor for class org.encog.parse.units.UnitConversion

Used to specify how a unit conversion works.

UnitManager - Class in org.encog.parse.units

Manage the unit types supported by Encog.

UnitManager() - Constructor for class org.encog.parse.units.UnitManager

updateError(double[], double[]) - Method in class org.encog.util.ErrorCalculation

Called to update for each number that should be checked.

updateError(NeuralData, NeuralData) - Method in class org.encog.util.ErrorCalculation

Update the error.

updateGenes() - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

Copy the network to the genes.

updateNetwork() - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

Copy the genes to the network.

updateProperties(String, String, String) - Method in class org.encog.persist.EncogPersistedCollection

Update any header properties for an Encog object, for example, a rename.

URL - Static variable in class org.encog.util.HSQLUtil

The URL to use for the memory database.

URLUtility - Class in org.encog.util.http

URLUtility: A set of useful utilities for processing URL's.

V

validate() - Method in class org.encog.bot.spider.WorkloadItem

Validate this object, not really needed.

validate() - Method in class org.encog.nlp.lexicon.data.Alias

validate() - Method in class org.encog.nlp.lexicon.data.Fix

validate() - Method in class org.encog.nlp.lexicon.data.Lemma

validate() - Method in class org.encog.nlp.lexicon.data.Word

validate() - Method in class org.encog.nlp.lexicon.data.WordType

validate() - Method in class org.encog.nlp.lexicon.data.WordTypePossibility

validate() - Method in class org.encog.util.orm.DataObject

Validate this object.

valueOf(String) - Static method in enum org.encog.bot.browse.range.Form.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.bot.spider.SpiderReportable.URLType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.neural.data.market.MarketDataType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.neural.data.temporal.TemporalDataDescription.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.neural.networks.synapse.SynapseType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.neural.prune.NetworkPattern

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.parse.tags.Tag.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.util.NormalizeInput.NormalizationType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.encog.util.time.TimeUnit

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.encog.bot.browse.range.Form.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.bot.spider.SpiderReportable.URLType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.neural.data.market.MarketDataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.neural.data.temporal.TemporalDataDescription.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.neural.networks.synapse.SynapseType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.neural.prune.NetworkPattern

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.parse.tags.Tag.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.util.NormalizeInput.NormalizationType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.encog.util.time.TimeUnit

Returns an array containing the constants of this enum type, in the order they are declared.

VarConcept - Class in org.encog.nlp.memory

Note: This class is part of the Encog Natural Language Processing(NLP) package.

vectorLength(Matrix) - Static method in class org.encog.matrix.MatrixMath

Calculate the length of a vector.

VERSION - Static variable in class org.encog.Encog

The current engog version, this should be read from the properties.

W

waitForComplete(long) - Method in class org.encog.util.concurrency.EncogConcurrency

Wait for all threads in the pool to complete.

WebPage - Class in org.encog.bot.browse

Holds a web page that was loaded by the Browse class.

WebPage() - Constructor for class org.encog.bot.browse.WebPage

Weight - Class in org.encog.parse.signal.units

Allows the parser to recognize a unit type of weight.

Weight() - Constructor for class org.encog.parse.signal.units.Weight

WeightedSynapse - Class in org.encog.neural.networks.synapse

A fully-connected weight based synapse.

WeightedSynapse() - Constructor for class org.encog.neural.networks.synapse.WeightedSynapse

Simple default constructor.

WeightedSynapse(Layer, Layer) - Constructor for class org.encog.neural.networks.synapse.WeightedSynapse

Construct a weighted synapse between the two layers.

WeightedSynapsePersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the ActivationBiPolar class.

WeightedSynapsePersistor() - Constructor for class org.encog.persist.persistors.WeightedSynapsePersistor

WeightlessSynapse - Class in org.encog.neural.networks.synapse

A fully connected synapse that simply sums all input to each neuron, no weights are applied.

WeightlessSynapse() - Constructor for class org.encog.neural.networks.synapse.WeightlessSynapse

Simple default constructor.

WeightlessSynapse(Layer, Layer) - Constructor for class org.encog.neural.networks.synapse.WeightlessSynapse

Construct a weighted synapse between the two layers.

WeightlessSynapsePersistor - Class in org.encog.persist.persistors

The Encog persistor used to persist the WeightlessSynapse class.

WeightlessSynapsePersistor() - Constructor for class org.encog.persist.persistors.WeightlessSynapsePersistor

winner(NeuralData) - Method in class org.encog.neural.networks.BasicNetwork

Determine the winner for the specified input.

winner(NeuralData) - Method in interface org.encog.neural.networks.Network

Determine the winner for the specified input.

Word - Class in org.encog.nlp.lexicon.data

Note: This class is part of the Encog Natural Language Processing(NLP) package.

Word() - Constructor for class org.encog.nlp.lexicon.data.Word

WORD_TYPE_ACTION - Static variable in class org.encog.nlp.lexicon.EncogLexicon

WORD_TYPE_DESCRIPTION - Static variable in class org.encog.nlp.lexicon.EncogLexicon

WORD_TYPE_NODE - Static variable in class org.encog.nlp.lexicon.EncogLexicon

WORD_TYPE_QUESTION_EMBED - Static variable in class org.encog.nlp.lexicon.EncogLexicon

WORD_TYPE_QUESTION_SIMPLE - Static variable in class org.encog.nlp.lexicon.EncogLexicon

WORD_TYPE_SPLIT - Static variable in class org.encog.nlp.lexicon.EncogLexicon

WordType - Class in org.encog.nlp.lexicon.data

Note: This class is part of the Encog Natural Language Processing(NLP) package.

WordType() - Constructor for class org.encog.nlp.lexicon.data.WordType

WordTypePossibility - Class in org.encog.nlp.lexicon.data

Note: This class is part of the Encog Natural Language Processing(NLP) package.

WordTypePossibility() - Constructor for class org.encog.nlp.lexicon.data.WordTypePossibility

WORKING - Static variable in class org.encog.bot.spider.WorkloadStatus

The workload item is in a processing state.

WorkloadItem - Class in org.encog.bot.spider

This is a Hibernate persisted class that holds the workload for the spider.

WorkloadItem() - Constructor for class org.encog.bot.spider.WorkloadItem

WorkloadStatus - Class in org.encog.bot.spider

The status that an individual workload item is in.

writeHeader() - Method in class org.encog.persist.PersistWriter

Write the header for the Encog file.

writeln(String) - Method in class org.encog.util.http.FormUtility

Write a string, with a carriage return and linefeed.

writeObject(EncogPersistedObject) - Method in class org.encog.persist.PersistWriter

Write an object.

WriteTags - Class in org.encog.parse.tags.write

Class used to write out tags, such as XML or HTML.

WriteTags(OutputStream) - Constructor for class org.encog.parse.tags.write.WriteTags

Construct an object to write tags.

WriteXML - Class in org.encog.parse.tags.write

Contains specifics to writing XML.

WriteXML(OutputStream) - Constructor for class org.encog.parse.tags.write.WriteXML

Construct an object to write an XML file.

X

XML2Object - Class in org.encog.persist.persistors.generic

A generic class used to take an XML segment and produce an object for it.

XML2Object() - Constructor for class org.encog.persist.persistors.generic.XML2Object

XMLNeuralDataSet - Class in org.encog.neural.data.xml

A data source that reads XML files.

XMLNeuralDataSet(String, int, int, String, String, String, String) - Constructor for class org.encog.neural.data.xml.XMLNeuralDataSet

Construct an XML neural data set.

XMLNeuralDataSet.XMLNeuralIterator - Class in org.encog.neural.data.xml

An iterator designed to read from XML files.

XMLNeuralDataSet.XMLNeuralIterator() - Constructor for class org.encog.neural.data.xml.XMLNeuralDataSet.XMLNeuralIterator

Construct an iterator to read the XML data.

Y

YahooFinanceLoader - Class in org.encog.neural.data.market.loader

This class loads financial data from Yahoo.

YahooFinanceLoader() - Constructor for class org.encog.neural.data.market.loader.YahooFinanceLoader

YahooSearch - Class in org.encog.util

YahooSearch: Perform a search using Yahoo.

YahooSearch() - Constructor for class org.encog.util.YahooSearch

YEARS_CENTURY - Static variable in class org.encog.util.time.TimeSpan

Years in a century.

YEARS_MIL - Static variable in class org.encog.util.time.TimeSpan

Years in a mil.

YEARS_SCORE - Static variable in class org.encog.util.time.TimeSpan

Years in a score.

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