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.image This package contains classes used to allow images to be Machine Learning Data. 
org.encog.ml.data.specific This package contains data classes to get data from specific locations. 
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.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
 

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 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 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
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 BufferedNeuralDataSet.add(MLData data1)
          Add only input data, for an unsupervised dataset.
 void BufferedNeuralDataSet.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.image
 

Classes in org.encog.ml.data.image that implement MLData
 class ImageNeuralData
          An extension of the BasicNeuralData class that is designed to hold images for input into a neural network.
 

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

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.
 



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