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

Packages that use MLData
org.encog.app.analyst.util   
org.encog.ensemble   
org.encog.ensemble.aggregator   
org.encog.ensemble.data   
org.encog.ml   
org.encog.ml.bayesian   
org.encog.ml.data   
org.encog.ml.data.auto   
org.encog.ml.data.basic   
org.encog.ml.data.buffer   
org.encog.ml.data.folded   
org.encog.ml.data.sparse   
org.encog.ml.data.specific   
org.encog.ml.data.temporal   
org.encog.ml.fitting.gaussian   
org.encog.ml.fitting.linear   
org.encog.ml.kmeans   
org.encog.ml.prg   
org.encog.ml.prg.train   
org.encog.ml.svm   
org.encog.neural.art   
org.encog.neural.bam   
org.encog.neural.cpn   
org.encog.neural.data   
org.encog.neural.data.basic   
org.encog.neural.freeform   
org.encog.neural.neat   
org.encog.neural.networks   
org.encog.neural.networks.training.pnn   
org.encog.neural.pnn   
org.encog.neural.rbf   
org.encog.neural.som   
org.encog.neural.som.training.basic   
org.encog.neural.thermal   
org.encog.platformspecific.j2se.data.image   
org.encog.util.normalize   
org.encog.util.simple   
 

Uses of MLData in org.encog.app.analyst.util
 

Methods in org.encog.app.analyst.util with parameters of type MLData
 void AnalystUtility.decode(boolean includeInput, boolean includeOutput, double[] rawData, MLData encodedData)
          Decode fields, using the analyst.
 void AnalystUtility.encode(boolean includeInput, boolean includeOutput, double[] rawData, MLData encodedData)
          Encode fields, using the analyst.
 

Uses of MLData in org.encog.ensemble
 

Methods in org.encog.ensemble that return MLData
 MLData Ensemble.compute(MLData input)
          Compute the output for a specific input
 MLData GenericEnsembleML.compute(MLData input)
           
 MLData EnsembleAggregator.evaluate(ArrayList<MLData> outputs)
           
 

Methods in org.encog.ensemble with parameters of type MLData
 int GenericEnsembleML.classify(MLData input)
           
 MLData Ensemble.compute(MLData input)
          Compute the output for a specific input
 MLData GenericEnsembleML.compute(MLData input)
           
 int GenericEnsembleML.winner(MLData output)
           
 

Method parameters in org.encog.ensemble with type arguments of type MLData
 MLData EnsembleAggregator.evaluate(ArrayList<MLData> outputs)
           
 

Uses of MLData in org.encog.ensemble.aggregator
 

Methods in org.encog.ensemble.aggregator that return MLData
 MLData MetaClassifier.evaluate(ArrayList<MLData> outputs)
           
 MLData MajorityVoting.evaluate(ArrayList<MLData> outputs)
           
 MLData Averaging.evaluate(ArrayList<MLData> outputs)
           
 MLData MajorityVoting.evaluate(ArrayList<MLData> outputs, double threshold, double lowValue, double highValue)
           
 

Method parameters in org.encog.ensemble.aggregator with type arguments of type MLData
 MLData MetaClassifier.evaluate(ArrayList<MLData> outputs)
           
 MLData MajorityVoting.evaluate(ArrayList<MLData> outputs)
           
 MLData Averaging.evaluate(ArrayList<MLData> outputs)
           
 MLData MajorityVoting.evaluate(ArrayList<MLData> outputs, double threshold, double lowValue, double highValue)
           
 

Uses of MLData in org.encog.ensemble.data
 

Methods in org.encog.ensemble.data with parameters of type MLData
 void EnsembleDataSet.add(MLData data1)
           
 void EnsembleDataSet.add(MLData inputData, MLData idealData)
           
 

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.bayesian
 

Methods in org.encog.ml.bayesian with parameters of type MLData
 int BayesianNetwork.classify(MLData input)
          Classify the input.
 double BayesianNetwork.computeProbability(MLData input)
           
 int[] BayesianNetwork.determineClasses(MLData input)
          Determine the classes for the specified input.
 

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.auto
 

Methods in org.encog.ml.data.auto with parameters of type MLData
 void AutoFloatDataSet.add(MLData data1)
           
 void AutoFloatDataSet.add(MLData inputData, MLData idealData)
           
 

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()
          
 MLData BasicMLData.minus(MLData o)
          Subtract one data element from another.
 MLData BasicMLData.plus(MLData o)
          Add one data element to another.
 MLData BasicMLData.times(double d)
          Multiply one data element with another.
 

Methods in org.encog.ml.data.basic that return types with arguments of type MLData
 Centroid<MLData> BasicMLData.createCentroid()
          
 Centroid<MLData> BasicMLComplexData.createCentroid()
          Not supported.
 

Methods in org.encog.ml.data.basic with parameters of type MLData
 void BasicMLDataCentroid.add(MLData d)
          Add an element to the centroid.
 void BasicMLSequenceSet.add(MLData theData)
          Add a object to the dataset.
 void BasicMLDataSet.add(MLData theData)
          Add a object to the dataset.
 void BasicMLSequenceSet.add(MLData inputData, MLData idealData)
          Add a set of input and ideal data to the dataset.
 void BasicMLDataSet.add(MLData inputData, MLData idealData)
          Add a set of input and ideal data to the dataset.
 double BasicMLDataCentroid.distance(MLData d)
          The distance between this centroid and an element.
 MLData BasicMLData.minus(MLData o)
          Subtract one data element from another.
 MLData BasicMLData.plus(MLData o)
          Add one data element to another.
 void BasicMLDataCentroid.remove(MLData d)
          Remove an element from the centroid.
 

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.
BasicMLDataCentroid(MLData o)
          Construct the centroid.
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.sparse
 

Classes in org.encog.ml.data.sparse that implement MLData
 class SparseMLData
           
 

Methods in org.encog.ml.data.sparse that return MLData
 MLData SparseMLData.clone()
          Clone this object.
 

Methods in org.encog.ml.data.sparse that return types with arguments of type MLData
 Centroid<MLData> SparseMLData.createCentroid()
           
 

Constructors in org.encog.ml.data.sparse with parameters of type MLData
SparseMLData(MLData d)
          Construct a new BasicMLData object from an existing one.
 

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()
           
 

Methods in org.encog.ml.data.specific that return types with arguments of type MLData
 Centroid<MLData> BiPolarNeuralData.createCentroid()
          Not supported.
 

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.fitting.gaussian
 

Methods in org.encog.ml.fitting.gaussian that return MLData
 MLData GaussianFitting.compute(MLData input)
           
 

Methods in org.encog.ml.fitting.gaussian with parameters of type MLData
 MLData GaussianFitting.compute(MLData input)
           
 

Uses of MLData in org.encog.ml.fitting.linear
 

Methods in org.encog.ml.fitting.linear that return MLData
 MLData LinearRegression.compute(MLData input)
           
 

Methods in org.encog.ml.fitting.linear with parameters of type MLData
 MLData LinearRegression.compute(MLData input)
           
 

Uses of MLData in org.encog.ml.kmeans
 

Methods in org.encog.ml.kmeans that return MLData
 MLData BasicCluster.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> BasicCluster.getData()
          
 

Methods in org.encog.ml.kmeans with parameters of type MLData
 void BasicCluster.add(MLData pair)
          Add to the cluster.
 void BasicCluster.remove(MLData pair)
          Remove the specified item.
 

Uses of MLData in org.encog.ml.prg
 

Methods in org.encog.ml.prg that return MLData
 MLData EncogProgram.compute(MLData input)
          Compute the output from the input MLData.
 

Methods in org.encog.ml.prg with parameters of type MLData
 MLData EncogProgram.compute(MLData input)
          Compute the output from the input MLData.
 

Uses of MLData in org.encog.ml.prg.train
 

Methods in org.encog.ml.prg.train that return MLData
 MLData PrgPopulation.compute(MLData input)
          Compute the output from the best Genome.
 

Methods in org.encog.ml.prg.train with parameters of type MLData
 MLData PrgPopulation.compute(MLData input)
          Compute the output from the best Genome.
 

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.freeform
 

Methods in org.encog.neural.freeform that return MLData
 MLData FreeformNetwork.compute(MLData input)
          Compute regression.
 

Methods in org.encog.neural.freeform with parameters of type MLData
 int FreeformNetwork.classify(MLData input)
          Classify the input into a group.
 MLData FreeformNetwork.compute(MLData input)
          Compute regression.
 

Uses of MLData in org.encog.neural.neat
 

Methods in org.encog.neural.neat that return MLData
 MLData NEATPopulation.compute(MLData input)
          Compute regression.
 MLData NEATNetwork.compute(MLData input)
          Compute the output from this synapse.
 

Methods in org.encog.neural.neat with parameters of type MLData
 MLData NEATPopulation.compute(MLData input)
          Compute regression.
 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
 int BasicPNN.classify(MLData input)
          Classify the input into a group.
 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 with parameters of type MLData
 int SOM.classify(MLData input)
          Classify the input into a group.
 int SOM.winner(MLData input)
          An alias for the classify method, kept for compatibility with earlier versions of Encog.
 

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.
 



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