Uses of Interface
org.encog.ml.data.MLData

Packages that use MLData

org.encog.ml	This package contains all of the classes for Machine Learning.
org.encog.ml.data	This package contains classes to provide data to the Machine Learning Methods.
org.encog.ml.data.basic
org.encog.ml.data.buffer	This package implements a folded data set.
org.encog.ml.data.folded	This package implements a folded data set.
org.encog.ml.data.specific	This package contains data classes to get data from specific locations.
org.encog.ml.data.temporal
org.encog.ml.kmeans	This package holds the classes used to implement kmeans clustering.
org.encog.ml.svm	This package contains all of the classes for support vector machines.
org.encog.neural.art	This package contains the classes for ART neural networks.
org.encog.neural.bam	THis package contains the classes for BAM networks.
org.encog.neural.cpn	This package contains the classes for CPN networks.
org.encog.neural.data	This package contains compatibility classes to ease the transition to Encog 3.0.
org.encog.neural.data.basic	This package contains compatibility classes to ease the transition to Encog 3.0.
org.encog.neural.neat
org.encog.neural.networks	This package contains the neural network machine learning methods.
org.encog.neural.networks.training.pnn	This package provides PNN training.
org.encog.neural.pnn	This package contains the classes for the PNN.
org.encog.neural.rbf	This package contains classes for RBF networks.
org.encog.neural.som	This package contains classes for the SOM.
org.encog.neural.som.training.basic	This package implements neighborhood training for the SOM.
org.encog.neural.thermal	This package implements thermal neural networks, such as Hopfield and Boltzmann machines.
org.encog.platformspecific.j2se.data.image	This package contains classes used to allow images to be Machine Learning Data.
org.encog.util.normalize
org.encog.util.simple

Uses of MLData in org.encog.ml

Methods in org.encog.ml that return MLData

MLData	MLRegression.compute(MLData input) Compute regression.
MLData	MLCluster.get(int pos) Get the specified data item by index.

Methods in org.encog.ml that return types with arguments of type MLData

List<MLData>

MLCluster.getData()

Methods in org.encog.ml with parameters of type MLData

void	MLCluster.add(MLData pair) Add data to this cluster.
int	MLClassification.classify(MLData input) Classify the input into a group.
MLData	MLRegression.compute(MLData input) Compute regression.
void	MLCluster.remove(MLData data) Remove the specified item.

Uses of MLData in org.encog.ml.data

Subinterfaces of MLData in org.encog.ml.data

interface

MLComplexData This class implements a data object that can hold complex numbers.

Methods in org.encog.ml.data that return MLData

MLData	MLData.clone() Clone this object.
MLData	MLDataPair.getIdeal()
MLData	MLDataPair.getInput()

Methods in org.encog.ml.data with parameters of type MLData

void	MLDataSet.add(MLData data1) Add a object to the dataset.
void	MLDataSet.add(MLData inputData, MLData idealData) Add a set of input and ideal data to the dataset.

Uses of MLData in org.encog.ml.data.basic

Classes in org.encog.ml.data.basic that implement MLData

class	BasicMLComplexData This class implements a data object that can hold complex numbers.
class	BasicMLData Basic implementation of the MLData interface that stores the data in an array.

Methods in org.encog.ml.data.basic that return MLData

MLData	BasicMLData.clone() Clone this object.
MLData	BasicMLComplexData.clone() Clone this object.
MLData	BasicMLDataPair.getIdeal()
MLData	BasicMLDataPair.getInput()

Methods in org.encog.ml.data.basic with parameters of type MLData

void	BasicMLDataSet.add(MLData theData) Add a object to the dataset.
void	BasicMLDataSet.add(MLData inputData, MLData idealData) Add a set of input and ideal data to the dataset.

Constructors in org.encog.ml.data.basic with parameters of type MLData

BasicMLComplexData(MLData d)
Construct a new BasicMLData object from an existing one.

BasicMLData(MLData d)
Construct a new BasicMLData object from an existing one.

BasicMLDataPair(MLData theInput)
Construct the object with only input.

BasicMLDataPair(MLData theInput, MLData theIdeal)
Construct a BasicMLDataPair class with the specified input and ideal values.

Uses of MLData in org.encog.ml.data.buffer

Methods in org.encog.ml.data.buffer with parameters of type MLData

void	BufferedMLDataSet.add(MLData data1) Add only input data, for an unsupervised dataset.
void	BufferedMLDataSet.add(MLData inputData, MLData idealData) Add both the input and ideal data.

Uses of MLData in org.encog.ml.data.folded

Methods in org.encog.ml.data.folded with parameters of type MLData

void	FoldedDataSet.add(MLData data1) Not supported.
void	FoldedDataSet.add(MLData inputData, MLData idealData) Not supported.

Uses of MLData in org.encog.ml.data.specific

Classes in org.encog.ml.data.specific that implement MLData

class

BiPolarNeuralData A NeuralData implementation designed to work with bipolar data.

Methods in org.encog.ml.data.specific that return MLData

MLData

BiPolarNeuralData.clone()

Uses of MLData in org.encog.ml.data.temporal

Methods in org.encog.ml.data.temporal with parameters of type MLData

void	TemporalMLDataSet.add(MLData data) Adding directly is not supported.
void	TemporalMLDataSet.add(MLData inputData, MLData idealData) Adding directly is not supported.

Uses of MLData in org.encog.ml.kmeans

Methods in org.encog.ml.kmeans that return MLData

MLData

KMeansCluster.get(int pos) Get the specified data item by index.

Methods in org.encog.ml.kmeans that return types with arguments of type MLData

List<MLData>

KMeansCluster.getData()

Methods in org.encog.ml.kmeans with parameters of type MLData

void	KMeansCluster.add(MLData pair) Add to the cluster.
static double	KMeansClustering.calculateEuclideanDistance(Centroid c, MLData data) Calculate the euclidean distance between a centroid and data.
void	KMeansCluster.remove(MLData pair) Remove the specified item.

Uses of MLData in org.encog.ml.svm

Methods in org.encog.ml.svm that return MLData

MLData

SVM.compute(MLData input) Compute the output for the given input.

Methods in org.encog.ml.svm with parameters of type MLData

int	SVM.classify(MLData input) Classify the input into a group.
MLData	SVM.compute(MLData input) Compute the output for the given input.
svm_node[]	SVM.makeSparse(MLData data) Convert regular Encog MLData into the "sparse" data needed by an SVM.

Uses of MLData in org.encog.neural.art

Methods in org.encog.neural.art that return MLData

MLData

ART1.compute(MLData input) Compute the output for the BasicNetwork class.

Methods in org.encog.neural.art with parameters of type MLData

int	ART1.classify(MLData input) Classify the input data to a class number.
MLData	ART1.compute(MLData input) Compute the output for the BasicNetwork class.

Uses of MLData in org.encog.neural.bam

Methods in org.encog.neural.bam that return MLData

MLData

BAM.compute(MLData input) Setup the network logic, read parameters from the network.

Methods in org.encog.neural.bam with parameters of type MLData

void	BAM.addPattern(MLData inputPattern, MLData outputPattern) Add a pattern to the neural network.
MLData	BAM.compute(MLData input) Setup the network logic, read parameters from the network.

Uses of MLData in org.encog.neural.cpn

Methods in org.encog.neural.cpn that return MLData

MLData	CPN.compute(MLData input) Compute regression.
MLData	CPN.computeInstar(MLData input) Compute the instar layer.
MLData	CPN.computeOutstar(MLData input) Compute the outstar layer.

Methods in org.encog.neural.cpn with parameters of type MLData

MLData	CPN.compute(MLData input) Compute regression.
MLData	CPN.computeInstar(MLData input) Compute the instar layer.
MLData	CPN.computeOutstar(MLData input) Compute the outstar layer.

Uses of MLData in org.encog.neural.data

Subinterfaces of MLData in org.encog.neural.data

interface

NeuralData This is an alias class for Encog 2.5 compatibility.

Uses of MLData in org.encog.neural.data.basic

Classes in org.encog.neural.data.basic that implement MLData

class

BasicNeuralData This is an alias class for Encog 2.5 compatibility.

Uses of MLData in org.encog.neural.neat

Methods in org.encog.neural.neat that return MLData

MLData

NEATNetwork.compute(MLData input) Compute the output from this synapse.

Methods in org.encog.neural.neat with parameters of type MLData

MLData

NEATNetwork.compute(MLData input) Compute the output from this synapse.

Uses of MLData in org.encog.neural.networks

Methods in org.encog.neural.networks that return MLData

MLData	BasicNetwork.compute(MLData input) Compute the output for a given input to the neural network.
MLData	NeuralDataMapping.getFrom()
MLData	NeuralDataMapping.getTo()

Methods in org.encog.neural.networks with parameters of type MLData

int	BasicNetwork.classify(MLData input) Classify the input into a group.
MLData	BasicNetwork.compute(MLData input) Compute the output for a given input to the neural network.
void	NeuralDataMapping.setFrom(MLData from) Set the from data.
void	NeuralDataMapping.setTo(MLData to) Set the target data.
int	BasicNetwork.winner(MLData input) Determine the winner for the specified input.

Constructors in org.encog.neural.networks with parameters of type MLData

NeuralDataMapping(MLData from, MLData to)
Construct the neural data mapping class with the specified values.

Uses of MLData in org.encog.neural.networks.training.pnn

Methods in org.encog.neural.networks.training.pnn that return MLData

MLData

TrainBasicPNN.computeDeriv(MLData input, MLData target) Compute the derivative for target data.

Methods in org.encog.neural.networks.training.pnn with parameters of type MLData

MLData

TrainBasicPNN.computeDeriv(MLData input, MLData target) Compute the derivative for target data.

Uses of MLData in org.encog.neural.pnn

Methods in org.encog.neural.pnn that return MLData

MLData	BasicPNN.compute(MLData input) Compute the output from this network.
abstract MLData	AbstractPNN.compute(MLData input) Compute the output from the network.

Methods in org.encog.neural.pnn with parameters of type MLData

MLData	BasicPNN.compute(MLData input) Compute the output from this network.
abstract MLData	AbstractPNN.compute(MLData input) Compute the output from the network.

Uses of MLData in org.encog.neural.rbf

Methods in org.encog.neural.rbf that return MLData

MLData

RBFNetwork.compute(MLData input) Compute regression.

Methods in org.encog.neural.rbf with parameters of type MLData

MLData

RBFNetwork.compute(MLData input) Compute regression.

Uses of MLData in org.encog.neural.som

Methods in org.encog.neural.som that return MLData

MLData

SOM.compute(MLData input) Determine the winner for the specified input.

Methods in org.encog.neural.som with parameters of type MLData

int	SOM.classify(MLData input) Classify the input into a group.
MLData	SOM.compute(MLData input) Determine the winner for the specified input.
int	SOM.winner(MLData input) Determine the winner for the specified input.

Uses of MLData in org.encog.neural.som.training.basic

Methods in org.encog.neural.som.training.basic with parameters of type MLData

int	BestMatchingUnit.calculateBMU(MLData input) Calculate the best matching unit (BMU).
double	BestMatchingUnit.calculateEuclideanDistance(Matrix matrix, MLData input, int outputNeuron) Calculate the Euclidean distance for the specified output neuron and the input vector.
void	BasicTrainSOM.trainPattern(MLData pattern) Train the specified pattern.

Uses of MLData in org.encog.neural.thermal

Methods in org.encog.neural.thermal that return MLData

MLData	BoltzmannMachine.compute(MLData input) Note: for Boltzmann networks, you will usually want to call the "run" method to compute the output.
MLData	HopfieldNetwork.compute(MLData input) Note: for Hopfield networks, you will usually want to call the "run" method to compute the output.

Methods in org.encog.neural.thermal with parameters of type MLData

void	HopfieldNetwork.addPattern(MLData pattern) Train the neural network for the specified pattern.
MLData	BoltzmannMachine.compute(MLData input) Note: for Boltzmann networks, you will usually want to call the "run" method to compute the output.
MLData	HopfieldNetwork.compute(MLData input) Note: for Hopfield networks, you will usually want to call the "run" method to compute the output.

Uses of MLData in org.encog.platformspecific.j2se.data.image

Classes in org.encog.platformspecific.j2se.data.image that implement MLData

class

ImageMLData An extension of the BasicNeuralData class that is designed to hold images for input into a neural network.

Uses of MLData in org.encog.util.normalize

Methods in org.encog.util.normalize that return MLData

MLData

DataNormalization.buildForNetworkInput(double[] data) Build "input data for a neural network" based on the input values provided.

Uses of MLData in org.encog.util.simple

Methods in org.encog.util.simple with parameters of type MLData

static String

EncogUtility.formatNeuralData(MLData data) Format neural data as a list of numbers.