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

- Packages that use MLDataPair
  Package | Description
  --- | ---
  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.data.versatile |
  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
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | EnsembleDataSet.`get(int index)`

    Methods in org.encog.ensemble.data that return types with arguments of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `Iterator<MLDataPair>` | EnsembleDataSet.`iterator()`

    Methods in org.encog.ensemble.data with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | MLDataSet.`get(int index)`

    Methods in org.encog.ml.data with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | AutoFloatDataSet.`get(int index)`
    `MLDataPair` | AutoFloatDataSet.AutoFloatIterator.`next()`

    Methods in org.encog.ml.data.auto that return types with arguments of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `Iterator<MLDataPair>` | AutoFloatDataSet.`iterator()`

    Methods in org.encog.ml.data.auto with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BasicMLDataPair` A basic implementation of the MLDataPair interface.

    Methods in org.encog.ml.data.basic that return MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `void` | BasicMLDataSet.`setData(List<MLDataPair> theData)`

    Constructor parameters in org.encog.ml.data.basic with type arguments of type MLDataPair
    Constructor and Description
    `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
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | BufferedMLDataSet.`get(int index)`
    `MLDataPair` | BufferedDataSetIterator.`next()`

    Methods in org.encog.ml.data.buffer that return types with arguments of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `Iterator<MLDataPair>` | BufferedMLDataSet.`iterator()`

    Methods in org.encog.ml.data.buffer with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | FoldedDataSet.`get(int index)`
    `MLDataPair` | FoldedIterator.`next()`

    Methods in org.encog.ml.data.folded that return types with arguments of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `Iterator<MLDataPair>` | FoldedDataSet.`iterator()`

    Methods in org.encog.ml.data.folded with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `void` | TemporalMLDataSet.`add(MLDataPair inputData)` Adding directly is not supported.

  - ### Uses of MLDataPair in org.encog.ml.data.versatile

    Methods in org.encog.ml.data.versatile that return MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | MatrixMLDataSet.`get(int index)`
    `MLDataPair` | MatrixMLDataSet.MatrixMLDataSetIterator.`next()`

    Methods in org.encog.ml.data.versatile that return types with arguments of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `Iterator<MLDataPair>` | MatrixMLDataSet.`iterator()`

    Methods in org.encog.ml.data.versatile with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `void` | MatrixMLDataSet.`add(MLDataPair inputData)` Add a an object to the dataset.
    `void` | MatrixMLDataSet.`getRecord(long index, MLDataPair pair)` Read an individual record, specified by index, in random order.

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

    Methods in org.encog.ml.hmm.alog that return MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | MarkovGenerator.`observation()`

    Methods in org.encog.ml.hmm.alog with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `Collection<MLDataPair>` | Clusters.`cluster(int clusterNb)`

    Methods in org.encog.ml.hmm.train.kmeans with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Interface and Description
    --- | ---
    `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
    Modifier and Type | Class and Description
    --- | ---
    `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
    Constructor and Description
    `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
    Modifier and Type | Method and Description
    --- | ---
    `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
    Modifier and Type | Method and Description
    --- | ---
    `MLDataPair` | MLDataFieldHolder.`getPair()`

    Methods in org.encog.util.normalize.input that return types with arguments of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `Iterator<MLDataPair>` | MLDataFieldHolder.`getIterator()`

    Methods in org.encog.util.normalize.input with parameters of type MLDataPair
    Modifier and Type | Method and Description
    --- | ---
    `void` | MLDataFieldHolder.`setPair(MLDataPair pair)` Set the pair.

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

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