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

Packages that use MLDataPair
org.encog.ensemble.data   
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.temporal   
org.encog.ml.hmm.alog   
org.encog.ml.hmm.distributions   
org.encog.ml.hmm.train.kmeans   
org.encog.neural.data   
org.encog.neural.data.basic   
org.encog.util.arrayutil   
org.encog.util.normalize.input   
 

Uses of MLDataPair in org.encog.ensemble.data
 

Methods in org.encog.ensemble.data that return MLDataPair
 MLDataPair EnsembleDataSet.get(int index)
           
 

Methods in org.encog.ensemble.data that return types with arguments of type MLDataPair
 Iterator<MLDataPair> EnsembleDataSet.iterator()
           
 

Methods in org.encog.ensemble.data with parameters of type MLDataPair
 void EnsembleDataSet.add(MLDataPair inputData)
           
 void EnsembleDataSet.getRecord(long index, MLDataPair pair)
           
 

Uses of MLDataPair in org.encog.ml.data
 

Methods in org.encog.ml.data that return MLDataPair
 MLDataPair MLDataSet.get(int index)
           
 

Methods in org.encog.ml.data with parameters of type MLDataPair
 void MLDataSet.add(MLDataPair inputData)
          Add a an object to the dataset.
 void MLDataSet.getRecord(long index, MLDataPair pair)
          Read an individual record, specified by index, in random order.
 

Uses of MLDataPair in org.encog.ml.data.auto
 

Methods in org.encog.ml.data.auto that return MLDataPair
 MLDataPair AutoFloatDataSet.get(int index)
           
 MLDataPair AutoFloatDataSet.AutoFloatIterator.next()
          
 

Methods in org.encog.ml.data.auto that return types with arguments of type MLDataPair
 Iterator<MLDataPair> AutoFloatDataSet.iterator()
           
 

Methods in org.encog.ml.data.auto with parameters of type MLDataPair
 void AutoFloatDataSet.add(MLDataPair inputData)
           
 void AutoFloatDataSet.getRecord(long index, MLDataPair pair)
           
 

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

Classes in org.encog.ml.data.basic that implement MLDataPair
 class BasicMLDataPair
          A basic implementation of the MLDataPair interface.
 

Methods in org.encog.ml.data.basic that return MLDataPair
static MLDataPair BasicMLDataPair.createPair(int inputSize, int idealSize)
          Create a new data pair object of the correct size for the machine learning method that is being trained.
 MLDataPair BasicMLSequenceSet.get(int index)
           
 MLDataPair BasicMLDataSet.get(int index)
          
 MLDataPair BasicMLSequenceSet.BasicMLSeqIterator.next()
          
 MLDataPair BasicMLDataSet.BasicMLIterator.next()
          
 

Methods in org.encog.ml.data.basic that return types with arguments of type MLDataPair
 Centroid<MLDataPair> BasicMLDataPair.createCentroid()
          
 List<MLDataPair> BasicMLDataSet.getData()
          Get the data held by this container.
 Iterator<MLDataPair> BasicMLSequenceSet.iterator()
          
 Iterator<MLDataPair> BasicMLDataSet.iterator()
          
static List<MLDataPair> BasicMLDataSet.toList(MLDataSet theSet)
          Concert the data set to a list.
 

Methods in org.encog.ml.data.basic with parameters of type MLDataPair
 void BasicMLDataPairCentroid.add(MLDataPair d)
          Add an element to the centroid.
 void BasicMLSequenceSet.add(MLDataPair inputData)
          Add a an object to the dataset.
 void BasicMLDataSet.add(MLDataPair inputData)
          Add a an object to the dataset.
 double BasicMLDataPairCentroid.distance(MLDataPair d)
          The distance between this centroid and an element.
 void BasicMLSequenceSet.getRecord(long index, MLDataPair pair)
          Read an individual record, specified by index, in random order.
 void BasicMLDataSet.getRecord(long index, MLDataPair pair)
          Read an individual record, specified by index, in random order.
 void BasicMLDataPairCentroid.remove(MLDataPair d)
          Remove an element from the centroid.
 

Method parameters in org.encog.ml.data.basic with type arguments of type MLDataPair
 void BasicMLDataSet.setData(List<MLDataPair> theData)
           
 

Constructor parameters in org.encog.ml.data.basic with type arguments of type MLDataPair
BasicMLDataSet(List<MLDataPair> theData)
          Construct a data set from an already created list.
BasicMLSequenceSet(List<MLDataPair> theData)
          Construct a data set from an already created list.
 

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

Methods in org.encog.ml.data.buffer that return MLDataPair
 MLDataPair BufferedMLDataSet.get(int index)
           
 MLDataPair BufferedDataSetIterator.next()
          
 

Methods in org.encog.ml.data.buffer that return types with arguments of type MLDataPair
 Iterator<MLDataPair> BufferedMLDataSet.iterator()
           
 

Methods in org.encog.ml.data.buffer with parameters of type MLDataPair
 void BufferedMLDataSet.add(MLDataPair pair)
          Add a data pair of both input and ideal data.
 void BufferedMLDataSet.getRecord(long index, MLDataPair pair)
          Read an individual record.
 

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

Methods in org.encog.ml.data.folded that return MLDataPair
 MLDataPair FoldedDataSet.get(int index)
           
 MLDataPair FoldedIterator.next()
          
 

Methods in org.encog.ml.data.folded that return types with arguments of type MLDataPair
 Iterator<MLDataPair> FoldedDataSet.iterator()
          
 

Methods in org.encog.ml.data.folded with parameters of type MLDataPair
 void FoldedDataSet.add(MLDataPair inputData)
          Not supported.
 void FoldedDataSet.getRecord(long index, MLDataPair pair)
          Read an individual record, specified by index, in random order.
 

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

Methods in org.encog.ml.data.temporal with parameters of type MLDataPair
 void TemporalMLDataSet.add(MLDataPair inputData)
          Adding directly is not supported.
 

Uses of MLDataPair in org.encog.ml.hmm.alog
 

Methods in org.encog.ml.hmm.alog that return MLDataPair
 MLDataPair MarkovGenerator.observation()
           
 

Methods in org.encog.ml.hmm.alog with parameters of type MLDataPair
protected  void ForwardBackwardCalculator.computeAlphaInit(HiddenMarkovModel hmm, MLDataPair o, int i)
          Compute the alpha init.
protected  void ForwardBackwardCalculator.computeAlphaStep(HiddenMarkovModel hmm, MLDataPair o, int t, int j)
          Compute the alpha step.
protected  void ForwardBackwardCalculator.computeBetaStep(HiddenMarkovModel hmm, MLDataPair o, int t, int i)
          Compute the beta step.
 

Uses of MLDataPair in org.encog.ml.hmm.distributions
 

Methods in org.encog.ml.hmm.distributions that return MLDataPair
 MLDataPair DiscreteDistribution.generate()
          Generate a random sequence.
 MLDataPair StateDistribution.generate()
          Generate a random data pair, based on the probabilities.
 MLDataPair ContinousDistribution.generate()
          Generate a random data pair, based on the probabilities.
 

Methods in org.encog.ml.hmm.distributions with parameters of type MLDataPair
 double DiscreteDistribution.probability(MLDataPair o)
          Determine the probability of the specified data pair.
 double StateDistribution.probability(MLDataPair o)
          Determine the probability of the specified data pair.
 double ContinousDistribution.probability(MLDataPair o)
          Determine the probability of the specified data pair.
 

Uses of MLDataPair in org.encog.ml.hmm.train.kmeans
 

Methods in org.encog.ml.hmm.train.kmeans that return types with arguments of type MLDataPair
 Collection<MLDataPair> Clusters.cluster(int clusterNb)
           
 

Methods in org.encog.ml.hmm.train.kmeans with parameters of type MLDataPair
 int Clusters.cluster(MLDataPair o)
           
 boolean Clusters.isInCluster(MLDataPair o, int x)
           
 void Clusters.put(MLDataPair o, int clusterNb)
           
 void Clusters.remove(MLDataPair o, int clusterNb)
           
 

Uses of MLDataPair in org.encog.neural.data
 

Subinterfaces of MLDataPair in org.encog.neural.data
 interface NeuralDataPair
          This is an alias class for Encog 2.5 compatibility.
 

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

Classes in org.encog.neural.data.basic that implement MLDataPair
 class BasicNeuralDataPair
          This is an alias class for Encog 2.5 compatibility.
 

Constructor parameters in org.encog.neural.data.basic with type arguments of type MLDataPair
BasicNeuralDataSet(List<MLDataPair> theData)
          Construct from another list.
 

Uses of MLDataPair in org.encog.util.arrayutil
 

Methods in org.encog.util.arrayutil that return MLDataPair
 MLDataPair TemporalWindowArray.processToPair(double[] data)
          Process the data array and returns an MLdatapair.
 

Uses of MLDataPair in org.encog.util.normalize.input
 

Methods in org.encog.util.normalize.input that return MLDataPair
 MLDataPair MLDataFieldHolder.getPair()
           
 

Methods in org.encog.util.normalize.input that return types with arguments of type MLDataPair
 Iterator<MLDataPair> MLDataFieldHolder.getIterator()
           
 

Methods in org.encog.util.normalize.input with parameters of type MLDataPair
 void MLDataFieldHolder.setPair(MLDataPair pair)
          Set the pair.
 

Constructor parameters in org.encog.util.normalize.input with type arguments of type MLDataPair
MLDataFieldHolder(Iterator<MLDataPair> iterator, InputFieldMLDataSet field)
          Construct the class.
 



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