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

Packages that use MLDataPair
org.encog.app.analyst.csv | This package contains all of the classes for directly working with CSV files, used by the analyst.
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.temporal |
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.util.normalize.input |

Uses of MLDataPair in org.encog.app.analyst.csv

Classes in org.encog.app.analyst.csv that implement MLDataPair
`class` | `ClusterRow` Holds input data and the CSV row for a cluster item.

Uses of MLDataPair in org.encog.ml.data

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.BasicMLIterator.next()`

Methods in org.encog.ml.data.basic that return types with arguments of type MLDataPair
`List<MLDataPair>` | `BasicMLDataSet.getData()` Get the data held by this container.
`Iterator<MLDataPair>` | `BasicMLDataSet.iterator()`

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

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.

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

Methods in org.encog.ml.data.buffer that return MLDataPair
`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` | `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.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.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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