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

A

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

Accumulate a matrix delta.

accumulateThresholdDelta(int, double) - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Accumulate a threshold delta.

ActivationFunction - Interface in org.encog.neural.activation

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

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

A activation function for a neural network.

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

A threshold function for a neural network.

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

A threshold function for a neural network.

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

A threshold function for a neural network.

ActivationLinear - Class in org.encog.neural.activation

ActivationLinear: 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.neural.persist.persistors

Persist the linear activation object.

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

ActivationSigmoid - Class in org.encog.neural.activation

ActivationSigmoid: The sigmoid activation function takes on a sigmoidal shape.

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

ActivationSigmoidPersistor - Class in org.encog.neural.persist.persistors

Persist the sigmoid activation function.

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

ActivationTANH - Class in org.encog.neural.activation

ActivationTANH: 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.neural.persist.persistors

Persist the TANH object.

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

add(String, File) - Method in class org.encog.bot.html.FormUtility

Add a file to a multipart form.

add(String, String) - Method in class org.encog.bot.html.FormUtility

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

add(URL, URL, int) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Add the specified URL to the workload.

add(URL, URL, int) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Add the specified URL to the workload.

add(URL, URL, int) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Add the specified URL to the workload.

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

Add a value to one cell in the 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, 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.temporal.TemporalNeuralDataSet

Adding directly is not supported.

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

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

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

Add an EncogPersistedObject to the collection.

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.

addAttribute(Node, String, String) - Static method in class org.encog.util.XMLUtil

Add the specified attribute.

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.

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

Add a layer to the neural network.

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

Add a URL for processing.

adjustWeights() - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Adjust the weights and allow the network to learn.

arrayToNetwork(Double[], BasicNetwork) - Static method in class org.encog.matrix.MatrixCODEC

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

B

Backpropagation - Class in org.encog.neural.networks.training.backpropagation

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

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

Construct a backpropagation trainer.

BackpropagationLayer - Class in org.encog.neural.networks.training.backpropagation

BackpropagationLayer: The back propagation training algorithm requires training data to be stored for each of the layers.

BackpropagationLayer(Backpropagation, FeedforwardLayer) - Constructor for class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Construct a BackpropagationLayer object that corresponds to a specific neuron layer.

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

Basic functionality that most of the nueral layers require.

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

Construct a basic layer with the specified neuron count.

BasicLayerPersistor - Class in org.encog.neural.persist.persistors

Persistence methods for the basic neural layer.

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

BasicNetwork - Class in org.encog.neural.networks

BasicNetwork: 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.neural.persist.persistors

Persist the basic network.

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

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

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

Construct the object with only input.

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.neural.persist.persistors

Persist the basic neural data set.

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

Construct an object with default values.

beginHost(String) - Method in class org.encog.bot.spider.SimpleReport

This function is called when the spider is ready to process a new host.

beginHost(String) - Method in interface org.encog.bot.spider.SpiderReportable

This function is called when the spider is ready to process a new host.

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

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

BotError - Exception in org.encog.bot

A bot related error has occured.

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.BoundNumbers

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

BoundNumbers - Class in org.encog.util

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

BUFFER_SIZE - Static variable in class org.encog.bot.html.FormUtility

The size of the read buffer.

BULL - Static variable in class org.encog.bot.html.ParseHTML

Special char.

C

calcError(NeuralData) - Method in class org.encog.neural.networks.training.backpropagation.Backpropagation

Calculate the error for the recognition just done.

calcError() - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Calculate the current error.

calcError(NeuralData) - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Calculate the error for the given ideal values.

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.

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

Calculate the error for this neural network.

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.

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

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

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.

call() - Method in class org.encog.solve.genetic.MateWorker

Execute the background task.

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

Set a flag that will cause the begin method to return before it is done.

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

Chromosome: Implements a chromosome to genetic algorithm.

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

clear() - Method in class org.encog.bot.html.HTMLTag

Clear the HTML tag.

clear() - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Clear the workload.

clear() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Clear the workload.

clear() - Method in interface org.encog.bot.spider.workload.WorkloadManager

Clear the workload.

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.neural.persist.EncogPersistedCollection

Clear the collection.

clearError() - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Clear any error values.

clipHiddenNeuron(int) - Method in class org.encog.neural.prune.Prune

Internal method used to clip the hidden neurons.

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

Create a copy of the matrix.

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

Return a clone of this neural network.

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

Return a clone of the structure of this neural network.

cloneStructure() - Method in class org.encog.neural.networks.layers.FeedforwardLayer

Clone the structure of this layer, but do not copy any matrix data.

close() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Close the workload manager.

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.util.db.RepeatableConnection

close() - Method in class org.encog.util.db.RepeatableStatement

close() - Method in class org.encog.util.db.RepeatableStatement.Results

Close the ResultSet.

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

Close the file.

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

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

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.

complete() - Method in class org.encog.bot.html.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) - Method in interface org.encog.neural.networks.Layer

Compute the output for this layer.

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

This layer is too basic to know how to compute a pattern, it simply passes the pattern on.

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

Compute the outputs for this layer given the input pattern.

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

Present a pattern to the neural network and receive the result.

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

Compute the output from this layer.

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

Compute the output from the neural network.

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

Construct a URL from its basic parts.

contains(URL) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Determine if the workload contains the specified URL.

contains(URL) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Determine if the workload contains the specified URL.

contains(URL) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Determine if the workload contains the specified URL.

containsInvalidURLCharacters(String) - Static method in class org.encog.bot.html.URLUtility

Returns true if the URL contains any invalid characters.

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

Convert a filename for local storage.

convertURL(String) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Convert the specified String to a URL.

convertURL(String) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Convert the specified String to a URL.

convertURL(String) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Convert the specified String to a URL.

CookieUtility - Class in org.encog.bot.html

CookieUtility: This class allows URLConnection objects to process cookies.

CookieUtility() - Constructor for class org.encog.bot.html.CookieUtility

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

Copy from one matrix to another.

CR - Static variable in class org.encog.bot.html.ParseHTML

Carriage return.

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

January is 1.

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

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

createPersistor(String) - Static method in class org.encog.neural.persist.EncogPersistedCollection

Create a persistor object.

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

Create a datapoint at the specified date.

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

Create a temporal data point using a sequence number.

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

Create a temporal point from a time.

createProperty(Document, String, String) - Static method in class org.encog.util.XMLUtil

Create a property element.

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

Turn an array of doubles into a row matrix.

createSQLHolder() - Method in class org.encog.bot.spider.workload.sql.oracle.OracleWorkloadManager

Get the Oracle SQL holder.

createSQLHolder() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Create the correct type of SQL holder for this workload managers.

createStatement(String) - Method in class org.encog.util.db.RepeatableConnection

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.

D

DateUtil - Class in org.encog.util.time

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

DBError - Exception in org.encog.util.db

DBError(String) - Constructor for exception org.encog.util.db.DBError

Construct a message exception.

DBError(Throwable) - Constructor for exception org.encog.util.db.DBError

Construct an exception that holds another exception.

DEFAULT_CORE_POOL_SIZE - Static variable in class org.encog.bot.spider.SpiderOptions

The default core pool size.

DEFAULT_KEEP_ALIVE - Static variable in class org.encog.bot.spider.SpiderOptions

The default keep-alive time.

DEFAULT_MAX_DEPTH - Static variable in class org.encog.bot.spider.SpiderOptions

The default maximum depth is no maximum depth.

DEFAULT_MIN_POOL_SIZE - Static variable in class org.encog.bot.spider.SpiderOptions

The default min pool size.

DEFAULT_PRECISION - Static variable in class org.encog.matrix.Matrix

The default level of precision for matrix compares.

DEFAULT_REDUCTION - Static variable in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

The default reduction to use.

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

The default timeout.

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.

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

Performs the derivative of the activation function function on the input.

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

Some training methods require the derivative.

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

Some training methods require the derivative.

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

Some training methods require the derivative.

determineError() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

Determine the error of the current weights and thresholds.

determineError(BasicNetwork) - Method in class org.encog.neural.prune.Prune

Internal method to determine the error for a neural network.

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

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

Directory - Class in org.encog.util

Directory utilities.

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

Format a date.

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

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

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

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

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

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

E

eatWhitespace() - Method in class org.encog.bot.html.ParseHTML

Remove any whitespace characters that are next in the InputStream.

ENCODE - Static variable in class org.encog.bot.html.FormUtility

The charset to use for URL encoding.

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.

EncogPersistedCollection - Class in org.encog.neural.persist

An EncogPersistedCollection holds a collection of EncogPersistedObjects.

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

EncogPersistedObject - Interface in org.encog.neural.persist

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

EnglishTimeUnitNames - Class in org.encog.util.time

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.

ErrorCalculation - Class in org.encog.util

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

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

evaluateErrors() - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Evaludate the current error level of the network.

execute(Object...) - Method in class org.encog.util.db.RepeatableStatement

Execute SQL that does not return a result set.

executeQuery(Object...) - Method in class org.encog.util.db.RepeatableStatement

Execute an SQL query that returns a result set.

F

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

FeedforwardLayer: This class represents one layer in a feed forward neural network.

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

Construct this layer with a non-default threshold function.

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

Construct this layer with a sigmoid threshold function.

FeedforwardLayerPersistor - Class in org.encog.neural.persist.persistors

Persist a feedforward layer.

FeedforwardLayerPersistor() - Constructor for class org.encog.neural.persist.persistors.FeedforwardLayerPersistor

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

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

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

findElement(Element, String) - Static method in class org.encog.util.XMLUtil

Find a child element.

findElementAsInt(Element, String, int) - Static method in class org.encog.util.XMLUtil

Find an element, return as an int.

findElementAsLong(Element, String, long) - Static method in class org.encog.util.XMLUtil

Find an element, return as a long.

findElementAsString(Element, String) - Static method in class org.encog.util.XMLUtil

Find an element, return as a string.

findNeuron() - Method in class org.encog.neural.prune.Prune

Internal method that will loop through all hidden neurons and prune them if pruning the neuron does not cause too great of an increase in error.

forceWin() - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Force a win, if no neuron won.

FormUtility - Class in org.encog.bot.html

The Heaton Research Spider Copyright 2007 by Heaton Research, Inc.

FormUtility(OutputStream, String) - Constructor for class org.encog.bot.html.FormUtility

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

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

Create a matrix from a packed array.

G

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

Generate the training sets.

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

GeneticAlgorithm: 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(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.

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

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

getArray() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

Get the network as an array of doubles.

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.neural.networks.training.anneal.NeuralSimulatedAnnealing

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

Get a copy of the array.

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

Get the list of attributes.

getAttributeValue(String) - Method in class org.encog.bot.html.HTMLTag

Get the value of the specified attribute.

getBackpropagationLayer(Layer) - Method in class org.encog.neural.networks.training.backpropagation.Backpropagation

Get the BackpropagationLayer that corresponds to the specified layer.

getBestError() - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Get the best error so far.

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

Get the specified data item as a boolean.

getBoundary() - Static method in class org.encog.bot.html.FormUtility

Generate a boundary for a multipart form.

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.

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.

getColumnSize(String, String) - Method in class org.encog.bot.spider.workload.sql.oracle.OracleWorkloadManager

Return the size of the specified column.

getColumnSize(String, String) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Return the size of the specified column.

getConnection() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

getConnection() - Method in class org.encog.util.db.RepeatableConnection

getCorePoolSize() - Method in class org.encog.bot.spider.SpiderOptions

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

getCurrentHost() - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Get the current host.

getCurrentHost() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Get the current host.

getCurrentHost() - Method in interface org.encog.bot.spider.workload.WorkloadManager

Get the current host.

getCurrentNetwork() - Method in class org.encog.neural.prune.Prune

Get the current neural network.

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

Get the cut length.

getCycles() - Method in class org.encog.neural.prune.Prune

Called to get the current number of cycles.

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

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.temporal.TemporalPoint

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

Get the data at the specified index.

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

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.

getDbClass() - Method in class org.encog.bot.spider.SpiderOptions

getDbPWD() - Method in class org.encog.bot.spider.SpiderOptions

getDbUID() - Method in class org.encog.bot.spider.SpiderOptions

getDbURL() - Method in class org.encog.bot.spider.SpiderOptions

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

getDepth(URL) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Get the depth of the specified URL.

getDepth() - Method in class org.encog.bot.spider.workload.memory.URLStatus

getDepth(URL) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Get the depth of the specified URL.

getDepth(URL) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Get the depth of the specified URL.

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

Get the description.

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

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

getDone() - Method in class org.encog.neural.prune.Prune

Called to determine if we are done in an incremental prune.

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

getDriver() - Method in class org.encog.util.db.RepeatableConnection

getElementValue(Element) - Static method in class org.encog.util.XMLUtil

Get the specified element's text value.

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

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

Get the current error percent from the training.

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

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

getError(int) - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Get the error for the specified neuron.

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

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

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

Not really used, for hopfield.

getError() - Method in class org.encog.neural.prune.Prune

Called to get the current error.

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

getErrorDelta(int) - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Get the error delta for the specified neuron.

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.

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

getFileVersion() - Method in class org.encog.neural.persist.EncogPersistedCollection

getFilter() - Method in class org.encog.bot.spider.SpiderOptions

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

Get the list of filters for the spider.

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

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

Get the output array from the last time that the output of this layer was calculated.

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

Get the output from an individual neuron.

getFire() - Method in class org.encog.neural.networks.layers.HopfieldLayer

getFrom() - Method in class org.encog.util.time.TimeSpan

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.

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

Get the genetic algorithm in use.

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

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

getHeight() - Method in class org.encog.util.ImageSize

getHiddenCount() - Method in class org.encog.neural.prune.Prune

The current number of hidden neurons being evaluated.

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

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.

getHiddenNeuronCount() - Method in class org.encog.neural.prune.Prune

Get the number of hidden neurons.

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

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

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

getIdealXML() - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

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

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.

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

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

getInputXML() - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

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

getKeepAliveTime() - Method in class org.encog.bot.spider.SpiderOptions

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

Get all layers.

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

Get the hyperlink.

getList() - Method in class org.encog.neural.persist.EncogPersistedCollection

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

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.bot.html.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 interface org.encog.neural.networks.Layer

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

Get the weight and threshold matrix.

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

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

Get the size of the matrix, or zero if one is not defined.

getMaxDepth() - Method in class org.encog.bot.spider.SpiderOptions

getMaximumPoolSize() - Method in class org.encog.bot.spider.SpiderOptions

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

Get the mutation percent.

getName() - Method in class org.encog.bot.html.HTMLTag

Get the tag name.

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

Get the current best network from the training.

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.backpropagation.Backpropagation

Get the current best neural network.

getNetwork() - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

getNetwork() - Method in class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

Get the current best neural network.

getNetwork() - Method in class org.encog.neural.networks.training.hopfield.TrainHopfield

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

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

Get the neuron count for this layer.

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

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

getNormalizationType() - Method in class org.encog.neural.networks.layers.SOMLayer

Get the normalization type.

getNormfac() - Method in class org.encog.util.NormalizeInput

The normalization factor.

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

Get the options for this spider.

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

Get the output layer.

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

getPairXML() - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

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.neural.persist.EncogPersistedCollection

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

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

Get the optional threadpool.

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

Get the population size.

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

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

getPwd() - Method in class org.encog.util.db.RepeatableConnection

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

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

Get the object that the spider reports to.

getResultSet() - Method in class org.encog.util.db.RepeatableStatement.Results

Get the ResultSet.

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

Returns the full URL of the robots.txt file.

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

getSource(URL) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Get the source page that contains the specified URL.

getSource() - Method in class org.encog.bot.spider.workload.memory.URLStatus

getSource(URL) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Get the source page that contains the specified URL.

getSource(URL) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Get the source page that contains the specified URL.

getSpan(TimeUnit) - Method in class org.encog.util.time.TimeSpan

getSQLAdd() - Method in class org.encog.bot.spider.workload.sql.oracle.OracleHolder

Use Oracle sequences for the add.

getSQLAdd() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Add to the workload.

getSQLAdd2() - Method in class org.encog.bot.spider.workload.sql.oracle.OracleHolder

Use Oracle sequences for the add.

getSQLAdd2() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Add to the hosts list.

getSQLClear() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Clear the workload.

getSQLClear2() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Clear the host table.

getSQLGetDepth() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Get the depth of a URL.

getSQLGetHost() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Find a host.

getSQLGetHostID() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Find a host ID.

getSQLGetNextHost() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Get the next host to process.

getSQLGetSource() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Get the source for a URL.

getSQLGetWork() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Get a URL from the workload.

getSQLGetWork2() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Set the status of a workload element.

getSQLGetWorkloadID() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Get the workload id for a url.

getSQLResume() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Resume an aborted spider run.

getSQLResume2() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Resume an aborted spider run.

getSQLSetHostStatus() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Update the status of a host.

getSQLSetWorkloadStatus() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Update the status of a workload.

getSQLSetWorkloadStatus2() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Get a workload status.

getSQLWorkloadEmpty() - Method in class org.encog.bot.spider.workload.sql.SQLHolder

Determine if the workload is empty.

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

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

getStartup() - Method in class org.encog.bot.spider.SpiderOptions

getStatements() - Method in class org.encog.util.db.RepeatableConnection

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

Generate basic status information about the spider.

getStatus() - Method in class org.encog.bot.spider.workload.memory.URLStatus

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

getStream() - Method in class org.encog.bot.spider.SpiderParseHTML

Get the InputStream being parsed.

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

getSynth() - Method in class org.encog.util.NormalizeInput

The synthetic input.

getTag() - Method in class org.encog.bot.html.ParseHTML

Return the last tag found, this is normally called just after the read function returns a zero.

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

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.SpiderOptions

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

Get the item title.

getTo() - Method in class org.encog.util.time.TimeSpan

getTotalError() - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Get the error for this iteration.

getTraining() - Method in class org.encog.neural.networks.training.genetic.TrainingSetNeuralGeneticAlgorithm

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

getUid() - Method in class org.encog.util.db.RepeatableConnection

getUrl() - Method in class org.encog.util.db.RepeatableConnection

getUserAgent() - Method in class org.encog.bot.spider.SpiderOptions

getValueXML() - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

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

Get the size of the weight and threshold matrix.

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.util.ImageSize

getWork() - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Get a new URL to work on.

getWork() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Get a new URL to work on.

getWork() - Method in interface org.encog.bot.spider.workload.WorkloadManager

Get a new URL to work on.

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

Get the workload manager.

getWorkloadManager() - Method in class org.encog.bot.spider.SpiderOptions

getXMLText(Node) - Static method in class org.encog.bot.rss.RSS

Simple utility method that obtains the text of an XML node.

H

HASH_MASK - Static variable in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

The mask used to generate URL hash's.

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.

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

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

Determine if this layer has a matrix.

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.

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

HopfieldLayer: This class implements a Hopfield neural network.

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

Construct a hopfield layer of the specified size.

HopfieldLayerPersistor - Class in org.encog.neural.persist.persistors

Persist a hopfield layer.

HopfieldLayerPersistor() - Constructor for class org.encog.neural.persist.persistors.HopfieldLayerPersistor

HTMLTag - Class in org.encog.bot.html

HTMLTag: This class holds a single HTML tag.

HTMLTag() - Constructor for class org.encog.bot.html.HTMLTag

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.

increment() - Method in class org.encog.neural.prune.Prune

Internal method that is called at the end of each incremental cycle.

INDEX_FILE - Static variable in class org.encog.bot.html.URLUtility

The name of the usual default document.

init(Spider) - Method in class org.encog.bot.spider.SimpleReport

Called when the spider is starting up.

init(Spider) - Method in interface org.encog.bot.spider.SpiderReportable

Called when the spider is starting up.

init(Spider) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Setup this workload manager for the specified spider.

init(Spider) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Setup this workload manager for the specified spider.

init(Spider) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Setup this workload manager for the specified spider.

init(RepeatableConnection) - Method in class org.encog.util.db.RepeatableStatement

Create the statement, so that it is ready to assign PreparedStatements.

initGenes(int) - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

Init the genes array.

INITIAL_DEPTH - Static variable in class org.encog.bot.html.PeekableInputStream

The depth to peek.

initialize() - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Called to initialize the SOM.

isEnding() - Method in class org.encog.bot.html.HTMLTag

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

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

Determine if this is a hidden layer.

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

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

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

Determine if this is an input layer.

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

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

Determine if this is an output layer.

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

Is the specified point within the range.

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

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

Should repeating genes be prevented.

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

Determine if the matrix is a vector.

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

Return true if every value in the matrix is zero.

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

Perform one iteration of training.

iteration() - Method in class org.encog.neural.networks.training.backpropagation.Backpropagation

Perform one iteration of training.

iteration() - Method in class org.encog.neural.networks.training.hopfield.TrainHopfield

Perform one iteration of training.

iteration() - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

This method is called for each training iteration.

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.

L

Layer - Interface in org.encog.neural.networks

This interface defines all necessary methods for a neural network layer.

learn() - Method in class org.encog.neural.networks.training.backpropagation.Backpropagation

Modify the weight matrix and thresholds based on the last call to calcError.

learn(double, double) - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Learn from the last error calculation.

LF - Static variable in class org.encog.bot.html.ParseHTML

Linefeed.

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

Load the spider settings from a configuration file.

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(InputStream) - Method in class org.encog.neural.persist.EncogPersistedCollection

Load from an input stream.

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

Load from a file.

load(Element) - Method in interface org.encog.neural.persist.Persistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.ActivationLinearPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.ActivationSigmoidPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.ActivationTANHPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.BasicLayerPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.BasicNetworkPersistor

Save the specified object.

load(Element) - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.FeedforwardLayerPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.HopfieldLayerPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.MatrixPersistor

Load from the specified node.

load(Element) - Method in class org.encog.neural.persist.persistors.SOMLayerPersistor

Load from the specified node.

load(String) - Static method in class org.encog.util.SerializeObject

Load an object.

loadCookies(URLConnection) - Method in class org.encog.bot.html.CookieUtility

Load any cookies from the specified URLConnection object.

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.

M

markError(URL) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Mark the specified URL as error.

markError(URL) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Mark the specified URL as error.

markError(URL) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Mark the specified URL as error.

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.

markProcessed(URL) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Mark the specified URL as successfully processed.

markProcessed(URL) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Mark the specified URL as successfully processed.

markProcessed(URL) - Method in interface org.encog.bot.spider.workload.WorkloadManager

Mark the specified URL as successfully processed.

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

MateWorker: 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

Matrix - Class in org.encog.matrix

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.

MatrixCODEC - Class in org.encog.matrix

MatrixCODEC: The matrix CODEC can encode or decode a matrix to/from an array of doubles.

MatrixError - Exception in org.encog.matrix

MatrixError: 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

MatrixMath: This class can perform many different mathematical operations on matrixes.

MatrixPersistor - Class in org.encog.neural.persist.persistors

Persist a matrix.

MatrixPersistor() - Constructor for class org.encog.neural.persist.persistors.MatrixPersistor

MAX_NAME_LENGTH - Static variable in class org.encog.bot.html.ParseHTML

The maximum name that will be parsed.

MAX_TRY - Static variable in class org.encog.neural.prune.Prune

Maximum number of tries.

MAXLINE - Static variable in class org.encog.bot.spider.filter.RobotsFilter

The maximum length of a line.

MemoryWorkloadManager - Class in org.encog.bot.spider.workload.memory

MemoryWorkloadManager: This class implements a workload manager that stores the list of URL's in memory.

MemoryWorkloadManager() - Constructor for class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

MILISECONDS2MINUTES - Static variable in class org.encog.bot.spider.Spider

Milliseconds in a minute.

MIN_LEARNRATE_FOR_REDUCTION - Static variable in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

The minimum learning rate for reduction to be applied.

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

Network - Interface in org.encog.neural.networks

Interface that defines a neural network.

networkToArray(BasicNetwork) - Static method in class org.encog.matrix.MatrixCODEC

Convert to an array.

NeuralChromosome - Class in org.encog.neural.networks.training.genetic

NeuralChromosome: 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

NeuralNetworkError: 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

NeuralGeneticAlgorithm: 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

NeuralNetworkError - Exception in org.encog.neural

NeuralNetworkError: 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.

NeuralSimulatedAnnealing - Class in org.encog.neural.networks.training.anneal

NeuralSimulatedAnnealing: 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.

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.util.ReadCSV

Read the next line.

nextHost() - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Move on to process the next host.

nextHost() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Move on to process the next host.

nextHost() - Method in interface org.encog.bot.spider.workload.WorkloadManager

Move on to process the next host.

NORM_TYPE_MULTIPLICATIVE - Static variable in class org.encog.neural.persist.persistors.SOMLayerPersistor

String token for the multiplicative normalization method.

NORM_TYPE_Z_AXIS - Static variable in class org.encog.neural.persist.persistors.SOMLayerPersistor

String token for the z-axis normalization method.

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.

normalizeWeight(Matrix, int) - Method in class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Normalize the specified row in the weight matrix.

O

ONE_PERCENT - Static variable in class org.encog.neural.prune.Prune

One percent.

open() - Method in class org.encog.util.db.RepeatableConnection

Open a database connection.

OracleHolder - Class in org.encog.bot.spider.workload.sql.oracle

OracleHolder: This class is an adaption of the SQLHolder class designed for Oracle.

OracleHolder() - Constructor for class org.encog.bot.spider.workload.sql.oracle.OracleHolder

OracleWorkloadManager - Class in org.encog.bot.spider.workload.sql.oracle

OracleWorkloadManager: This workload manager is compatible with the Oracle database.

OracleWorkloadManager() - Constructor for class org.encog.bot.spider.workload.sql.oracle.OracleWorkloadManager

org.encog - package org.encog

org.encog.bot - package org.encog.bot

org.encog.bot.html - package org.encog.bot.html

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.bot.spider.workload - package org.encog.bot.spider.workload

org.encog.bot.spider.workload.memory - package org.encog.bot.spider.workload.memory

org.encog.bot.spider.workload.sql - package org.encog.bot.spider.workload.sql

org.encog.bot.spider.workload.sql.oracle - package org.encog.bot.spider.workload.sql.oracle

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.training.anneal - package org.encog.neural.networks.training.anneal

org.encog.neural.networks.training.backpropagation - package org.encog.neural.networks.training.backpropagation

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.som - package org.encog.neural.networks.training.som

org.encog.neural.persist - package org.encog.neural.persist

org.encog.neural.persist.persistors - package org.encog.neural.persist.persistors

org.encog.neural.prune - package org.encog.neural.prune

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.db - package org.encog.util.db

org.encog.util.downsample - package org.encog.util.downsample

org.encog.util.time - package org.encog.util.time

P

parse(String) - Static method in class org.encog.bot.html.FormUtility

Parse a URL query string.

parseAttributeName() - Method in class org.encog.bot.html.ParseHTML

Parse an attribute name, if one is present.

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.

ParseHTML - Class in org.encog.bot.html

ParseHTML: This is the class that actually parses the HTML and outputs HTMLTag objects and raw text.

ParseHTML(InputStream) - Constructor for class org.encog.bot.html.ParseHTML

The constructor should be passed an InputStream that we will parse from.

parseString() - Method in class org.encog.bot.html.ParseHTML

Called to parse a double or single quote string.

parseTag() - Method in class org.encog.bot.html.ParseHTML

Called when a tag is detected.

peek() - Method in class org.encog.bot.html.PeekableInputStream

Peek at the next character from the stream.

peek(int) - Method in class org.encog.bot.html.PeekableInputStream

Peek at a specified depth.

PeekableInputStream - Class in org.encog.bot.html

PeekableInputStream: 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.bot.html.PeekableInputStream

The constructor accepts an InputStream to setup the object.

Persistor - Interface in org.encog.neural.persist

Persistor: This interface defines a class that can load and save an EncogPersistedObject.

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

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

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

Called to start the spider.

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

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

prune(int) - Method in class org.encog.neural.networks.layers.FeedforwardLayer

Prune one of the neurons from this layer.

Prune - Class in org.encog.neural.prune

Prune: The prune class provides some basic help for determining the correct number of neurons to put in a hidden layer.

Prune(BasicNetwork, NeuralDataSet, double) - Constructor for class org.encog.neural.prune.Prune

Constructor that is designed to setup for a selective prune.

Prune(double, double, NeuralDataSet, double) - Constructor for class org.encog.neural.prune.Prune

Constructor used to setup the prune object for an incremental prune.

pruneIncramental() - Method in class org.encog.neural.prune.Prune

Method that is called to prune the neural network incramentaly.

pruneSelective() - Method in class org.encog.neural.prune.Prune

Called to complete the selective pruning process.

putArray(Double[]) - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

Convert an array of doubles to the current best network.

putArray(UNIT_TYPE[]) - Method in class org.encog.solve.anneal.SimulatedAnnealing

Store the array.

R

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

Randomize the matrix within the specified range.

RANDOM_LENGTH - Static variable in class org.encog.bot.html.FormUtility

The length of random string to create for multipart.

randomize() - Method in class org.encog.neural.networks.training.anneal.NeuralSimulatedAnnealing

Randomize the weights and thresholds.

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

Randomize the weight matrix.

randomString() - Static method in class org.encog.bot.html.FormUtility

Generate a random string, of a specified length.

read() - Method in class org.encog.bot.html.ParseHTML

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.

read() - Method in class org.encog.bot.html.PeekableInputStream

Read a single byte from the stream.

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.

readAll() - Method in class org.encog.bot.spider.SpiderParseHTML

Read all characters on the page.

ReadCSV - Class in org.encog.util

ReadCSV: 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.

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

Removes are not supported.

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

Error message: removes are not supported.

RepeatableConnection - Class in org.encog.util.db

RepeatableConnection(String, String, String, String) - Constructor for class org.encog.util.db.RepeatableConnection

RepeatableStatement - Class in org.encog.util.db

RepeatableStatement: This class implements a repeatable statement.

RepeatableStatement(String) - Constructor for class org.encog.util.db.RepeatableStatement

Construct a repeatable statement based on the specified SQL

RepeatableStatement.Results - Class in org.encog.util.db

Simple internal class that holds the ResultSet from a query.

RepeatableStatement.Results(PreparedStatement, ResultSet) - Constructor for class org.encog.util.db.RepeatableStatement.Results

Construct a Results object.

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

Reset the weight matrix and the thresholds.

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

Reset the weight matrix to random values.

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

Reset the weight matrix and threshold values to random numbers between -1 and 1.

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

Reset the error accumulation to zero.

resume() - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Setup the workload so that it can be resumed from where the last spider left the workload.

resume() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Setup the workload so that it can be resumed from where the last spider left the workload.

resume() - Method in interface org.encog.bot.spider.workload.WorkloadManager

Setup the workload so that it can be resumed from where the last spider left the workload.

RobotsFilter - Class in org.encog.bot.spider.filter

RobotsFilter: This filter causes the spider to skip URL's from a robots.txt file.

RobotsFilter() - Constructor for class org.encog.bot.spider.filter.RobotsFilter

RSS - Class in org.encog.bot.rss

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

RSSItem: 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

This method is called by the thread pool to process one single URL.

S

save(OutputStream) - Method in class org.encog.neural.persist.EncogPersistedCollection

Save to an output stream.

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

Save to a file.

save(EncogPersistedObject, TransformerHandler) - Method in interface org.encog.neural.persist.Persistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.ActivationLinearPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.ActivationSigmoidPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.ActivationTANHPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.BasicLayerPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.BasicNetworkPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.FeedforwardLayerPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.HopfieldLayerPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.MatrixPersistor

Save the specified object.

save(EncogPersistedObject, TransformerHandler) - Method in class org.encog.neural.persist.persistors.SOMLayerPersistor

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.bot.html.CookieUtility

Once you have loaded cookies with loadCookies, you can call saveCookies to copy these cookies to a new HTTP request.

search(String) - Method in class org.encog.util.YahooSearch

Called to extract a list from the specified URL.

SerializeObject - Class in org.encog.util

SerializeObject: Load or save an object using Java serialization.

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

Set an individual cell in the matrix to the specified value.

setAttribute(String, String) - Method in class org.encog.bot.html.HTMLTag

Set a HTML attribute.

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.

setCorePoolSize(int) - Method in class org.encog.bot.spider.SpiderOptions

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

Set the cost for this chromosome.

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.

setDbClass(String) - Method in class org.encog.bot.spider.SpiderOptions

setDbPWD(String) - Method in class org.encog.bot.spider.SpiderOptions

setDbUID(String) - Method in class org.encog.bot.spider.SpiderOptions

setDbURL(String) - Method in class org.encog.bot.spider.SpiderOptions

setDepth(int) - Method in class org.encog.bot.spider.workload.memory.URLStatus

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

Get the description.

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

setEnding(boolean) - Method in class org.encog.bot.html.HTMLTag

setError(int, double) - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Set the error for the specified neuron.

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

Set the error.

setErrorDelta(int, double) - Method in class org.encog.neural.networks.training.backpropagation.BackpropagationLayer

Set the error delta for the specified neuron.

setFilter(List<String>) - Method in class org.encog.bot.spider.SpiderOptions

setFire(int, double) - Method in interface org.encog.neural.networks.Layer

Set the specified fire value.

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

Set the fire data.

setFire(int, double) - Method in class org.encog.neural.networks.layers.BasicLayer

Set the last output value for the specified neuron.

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

Set the fire data.

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.

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

Set the genetic algorithm.

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

setIdealXML(String) - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

setImage(Image) - Method in class org.encog.neural.data.image.ImageNeuralData

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

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

setInputXML(String) - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

setKeepAliveTime(long) - Method in class org.encog.bot.spider.SpiderOptions

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 interface org.encog.neural.networks.Layer

Set the weight matrix.

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

Assign a new weight and threshold matrix to this layer.

setMatrix(Matrix) - Method in class org.encog.neural.networks.layers.FeedforwardLayer

Assign a new weight and threshold matrix to this layer.

setMaxDepth(int) - Method in class org.encog.bot.spider.SpiderOptions

setMaximumPoolSize(int) - Method in class org.encog.bot.spider.SpiderOptions

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

Set the mutation percent.

setName(String) - Method in class org.encog.bot.html.HTMLTag

Set the tag name.

setNetwork(BasicNetwork) - Method in class org.encog.neural.networks.training.genetic.NeuralChromosome

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

Set the next layer.

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

Set the next layer.

setNext(Layer) - Method in class org.encog.neural.networks.layers.FeedforwardLayer

Set the next layer.

setNext(Layer) - Method in class org.encog.neural.networks.layers.SOMLayer

Set the next layer.

setOutputStream(OutputStream) - Method in class org.encog.bot.spider.SpiderInputStream

Set the OutputStream.

setPairXML(String) - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

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

Set the percent to mate.

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

Set the optional thread pool.

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

Set the population size.

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

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

Set the gene.

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

Set the previous layer.

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

Set the previous layer.

setReport(SpiderReportable) - Method in class org.encog.bot.spider.Spider

Set the report object to use.

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

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

setSource(URL) - Method in class org.encog.bot.spider.workload.memory.URLStatus

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

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

setStartup(String) - Method in class org.encog.bot.spider.SpiderOptions

setStatus(URLStatus.Status) - Method in class org.encog.bot.spider.workload.memory.URLStatus

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

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

setTimeout(int) - Method in class org.encog.bot.spider.SpiderOptions

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

Set the item title.

setUserAgent(String) - Method in class org.encog.bot.spider.SpiderOptions

setValueXML(String) - Method in class org.encog.neural.persist.persistors.BasicNeuralDataSetPersistor

setWorkloadManager(String) - Method in class org.encog.bot.spider.SpiderOptions

SimpleIntensityDownsample - Class in org.encog.util.downsample

SimpleIntensityDownsample(Image) - Constructor for class org.encog.util.downsample.SimpleIntensityDownsample

SimpleReport - Class in org.encog.bot.spider

SimpleReport: This is a very simple implementation of the SpiderReportable interface.

SimpleReport() - Constructor for class org.encog.bot.spider.SimpleReport

SimulatedAnnealing<UNIT_TYPE> - Class in org.encog.solve.anneal

SimulatedAnnealing: Simulated annealing is a common training method.

SimulatedAnnealing() - Constructor for class org.encog.solve.anneal.SimulatedAnnealing

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

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

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

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

SelfOrganizingMap: The Self Organizing Map, or Kohonen Neural Network, is a special type of neural network that is used to classify input into groups.

SOMLayer(int, NormalizeInput.NormalizationType) - Constructor for class org.encog.neural.networks.layers.SOMLayer

The constructor.

SOMLayerPersistor - Class in org.encog.neural.persist.persistors

Persist a som.

SOMLayerPersistor() - Constructor for class org.encog.neural.persist.persistors.SOMLayerPersistor

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.

SPECIAL_CHAR_LIMIT - Static variable in class org.encog.bot.html.URLUtility

Beyond this number are special chars.

Spider - Class in org.encog.bot.spider

Spider: This is the main class that implements the Heaton Research Spider.

Spider(SpiderOptions, SpiderReportable) - Constructor for class org.encog.bot.spider.Spider

Construct a spider object.

SpiderError - Exception in org.encog.bot.spider

SpiderException: This exception is thrown when the spider encounters an error.

SpiderError(String) - Constructor for exception org.encog.bot.spider.SpiderError

Construct a SpiderException.

SpiderError(Throwable) - Constructor for exception org.encog.bot.spider.SpiderError

Wrap another exception as a SpiderException.

SpiderFilter - Interface in org.encog.bot.spider.filter

SpiderFilter: Filters will cause the spider to skip URL's.

spiderFoundURL(URL, URL, SpiderReportable.URLType) - Method in class org.encog.bot.spider.SimpleReport

Called when the spider encounters a URL.

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

SpiderInputStream: 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.

SpiderOptions - Class in org.encog.bot.spider

SpiderOptions: This class contains options for the spider's execution.

SpiderOptions() - Constructor for class org.encog.bot.spider.SpiderOptions

SpiderParseHTML - Class in org.encog.bot.spider

SpiderParseHTML: This class layers on top of the ParseHTML class and allows the spider to extract what link information it needs.

SpiderParseHTML(URL, SpiderInputStream, Spider) - Constructor for class org.encog.bot.spider.SpiderParseHTML

Construct a SpiderParseHTML object.

spiderProcessURL(URL, InputStream) - Method in class org.encog.bot.spider.SimpleReport

Called when the spider is about to process a NON-HTML URL.

spiderProcessURL(URL, SpiderParseHTML) - Method in class org.encog.bot.spider.SimpleReport

Called when the spider is ready to process an HTML URL.

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

SpiderReportable: 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 class org.encog.bot.spider.SimpleReport

Called when the spider tries to process a URL but gets an error.

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

SpiderWorker: This class forms the workloads that are passed onto the thread pool.

SpiderWorker(Spider, URL) - Constructor for class org.encog.bot.spider.SpiderWorker

Construct a SpiderWorker object.

SQLHolder - Class in org.encog.bot.spider.workload.sql

SQLHolder: This class holds the SQL statements used by the Heaton Research Spider.

SQLHolder() - Constructor for class org.encog.bot.spider.workload.sql.SQLHolder

SQLNeuralDataSet - Class in org.encog.neural.data.sql

A dataset based on a SQL query.

SQLNeuralDataSet(String, int, int, 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.

SQLWorkloadManager - Class in org.encog.bot.spider.workload.sql

SQLWorkloadManager: This workload manager stores the URL lists in an SQL database.

SQLWorkloadManager() - Constructor for class org.encog.bot.spider.workload.sql.SQLWorkloadManager

startIncremental() - Method in class org.encog.neural.prune.Prune

Method that is called to start the incremental prune process.

STARTUP_CLEAR - Static variable in class org.encog.bot.spider.SpiderOptions

Specifies that when the spider starts up it should clear the workload.

STARTUP_RESUME - Static variable in class org.encog.bot.spider.SpiderOptions

Specifies that the spider should resume processing its workload.

Status - Class in org.encog.bot.spider.workload.sql

Status: This class defines the constant status values for both the spider_host and spider_workload tables.

STATUS_DONE - Static variable in class org.encog.bot.spider.workload.sql.Status

The item was processed successfully.

STATUS_ERROR - Static variable in class org.encog.bot.spider.workload.sql.Status

The item was processed, but resulted in an error.

STATUS_IGNORE - Static variable in class org.encog.bot.spider.workload.sql.Status

This item should be ignored, only applies to hosts.

STATUS_PROCESSING - Static variable in class org.encog.bot.spider.workload.sql.Status

The item is currently being processed.

STATUS_WAITING - Static variable in class org.encog.bot.spider.workload.sql.Status

The item is waiting to be processed.

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.

T

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.

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

TimeSpan(Date, Date) - Constructor for class org.encog.util.time.TimeSpan

TimeUnit - Enum in org.encog.util.time

TimeUnitNames - Interface in org.encog.util.time

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.

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

Convert to binary and normalize.

TOO_BIG - Static variable in class org.encog.util.BoundNumbers

Too big of a number.

TOO_SMALL - Static variable in class org.encog.util.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.html.HTMLTag

Convert this tag back into string form, with the beginning < and ending >.

toString() - Method in class org.encog.bot.html.ParseHTML

Convert the HTML document back to a string.

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.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.layers.FeedforwardLayer

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

Convert the chromosome to a string.

TRADE - Static variable in class org.encog.bot.html.ParseHTML

Special char.

Train - Interface in org.encog.neural.networks

Train: Interface for all feedforward neural network training methods.

TrainHopfield - Class in org.encog.neural.networks.training.hopfield

Train the hopfield layer.

TrainHopfield(NeuralData, BasicNetwork) - Constructor for class org.encog.neural.networks.training.hopfield.TrainHopfield

Construct a trainer.

TrainHopfield(NeuralDataSet, BasicNetwork) - Constructor for class org.encog.neural.networks.training.hopfield.TrainHopfield

Construct a trainer.

trainHopfieldLayer(HopfieldLayer, 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

TrainingSetNeuralChromosome: 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

TrainingSetNeuralGeneticAlgorithm: Implements a genetic algorithm that allows a feedforward neural network to be trained using a genetic algorithm.

TrainingSetNeuralGeneticAlgorithm(BasicNetwork, boolean, NeuralDataSet, int, double, double) - Constructor for class org.encog.neural.networks.training.genetic.TrainingSetNeuralGeneticAlgorithm

Construct a training object.

TrainSelfOrganizingMap - Class in org.encog.neural.networks.training.som

TrainSelfOrganizingMap: Implements an unsupervised training algorithm for use with a Self Organizing Map.

TrainSelfOrganizingMap(BasicNetwork, NeuralDataSet, TrainSelfOrganizingMap.LearningMethod, double) - Constructor for class org.encog.neural.networks.training.som.TrainSelfOrganizingMap

Construct the trainer for a self organizing map.

TrainSelfOrganizingMap.LearningMethod - Enum in org.encog.neural.networks.training.som

The learning method, either additive or subtractive.

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

Return the transposition of a matrix.

U

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.

URLStatus - Class in org.encog.bot.spider.workload.memory

URLStatus: This class holds in memory status information for URLs.

URLStatus() - Constructor for class org.encog.bot.spider.workload.memory.URLStatus

URLStatus.Status - Enum in org.encog.bot.spider.workload.memory

The values for URL statues.

URLUtility - Class in org.encog.bot.html

URLUtility: A set of useful utilities for processing URL's.

V

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.bot.spider.workload.memory.URLStatus.Status

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.training.som.TrainSelfOrganizingMap.LearningMethod

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.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.bot.spider.workload.memory.URLStatus.Status

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.training.som.TrainSelfOrganizingMap.LearningMethod

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.

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

Calculate the length of a vector.

VERYSMALL - Static variable in class org.encog.neural.networks.layers.SOMLayer

Do not allow patterns to go below this very small number.

W

WAIT4WORK - Static variable in class org.encog.bot.spider.Spider

How many seconds to wait for work.

WAIT_FOR_WORK - Static variable in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

How many seconds to wait for work.

waitForWork(int, TimeUnit) - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

If there is currently no work available, then wait until a new URL has been added to the workload.

waitForWork(int, TimeUnit) - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

If there is currently no work available, then wait until a new URL has been added to the workload.

waitForWork(int, TimeUnit) - Method in interface org.encog.bot.spider.workload.WorkloadManager

If there is currently no work available, then wait until a new URL has been added to the workload.

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

Determine the winner for the specified input.

workloadEmpty() - Method in class org.encog.bot.spider.workload.memory.MemoryWorkloadManager

Return true if there are no more workload units.

workloadEmpty() - Method in class org.encog.bot.spider.workload.sql.SQLWorkloadManager

Return true if there are no more workload units.

workloadEmpty() - Method in interface org.encog.bot.spider.workload.WorkloadManager

Return true if there are no more workload units.

WorkloadError - Exception in org.encog.bot.spider.workload

WorkloadException: This exception is thrown when the workload manager encounters an error.

WorkloadError(String) - Constructor for exception org.encog.bot.spider.workload.WorkloadError

Construct a WorkloadException with the specified message.

WorkloadError(Throwable) - Constructor for exception org.encog.bot.spider.workload.WorkloadError

Called to wrap another exception as a WorkloadError.

WorkloadManager - Interface in org.encog.bot.spider.workload

WorkloadManager: This interface defines a workload manager.

writeln(String) - Method in class org.encog.bot.html.FormUtility

Write a string, with a carriage return and linefeed.

X

XMLNeuralDataSet - Class in org.encog.neural.data.xml

A data source that reads XML files.

XMLNeuralDataSet(String, String, String, String, String) - Constructor for class org.encog.neural.data.xml.XMLNeuralDataSet

Construct an XML neural data set.

XMLUtil - Class in org.encog.util

Simple XML utilities for parsing.

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

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