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

Packages that use MLDataPair
org.encog.ml.data |
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.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.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` | `BasicMLDataSet.get(int index)`
`MLDataPair` | `BasicMLSequenceSet.get(int index)`
`MLDataPair` | `BasicMLDataSet.BasicMLIterator.next()`
`MLDataPair` | `BasicMLSequenceSet.BasicMLSeqIterator.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>` | `BasicMLDataSet.iterator()`
`Iterator<MLDataPair>` | `BasicMLSequenceSet.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` | `BasicMLDataSet.add(MLDataPair inputData)` Add a an object to the dataset.
`void` | `BasicMLSequenceSet.add(MLDataPair inputData)` Add a an object to the dataset.
`double` | `BasicMLDataPairCentroid.distance(MLDataPair d)` The distance between this centroid and an element.
`void` | `BasicMLDataSet.getRecord(long index, MLDataPair pair)` Read an individual record, specified by index, in random order.
`void` | `BasicMLSequenceSet.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` | `ContinousDistribution.generate()` Generate a random data pair, based on the probabilities.
`MLDataPair` | `StateDistribution.generate()` Generate a random data pair, based on the probabilities.
`MLDataPair` | `DiscreteDistribution.generate()` Generate a random sequence.

Methods in org.encog.ml.hmm.distributions with parameters of type MLDataPair
`double` | `ContinousDistribution.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` | `DiscreteDistribution.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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