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

Packages that use MLData
org.encog.ml | This package contains all of the classes for Machine Learning.
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.specific | This package contains data classes to get data from specific locations.
org.encog.ml.data.temporal |
org.encog.ml.kmeans | This package holds the classes used to implement kmeans clustering.
org.encog.ml.svm | This package contains all of the classes for support vector machines.
org.encog.neural.art | This package contains the classes for ART neural networks.
org.encog.neural.bam | THis package contains the classes for BAM networks.
org.encog.neural.cpn | This package contains the classes for CPN networks.
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.neural.neat |
org.encog.neural.networks | This package contains the neural network machine learning methods.
org.encog.neural.networks.training.pnn | This package provides PNN training.
org.encog.neural.pnn | This package contains the classes for the PNN.
org.encog.neural.rbf | This package contains classes for RBF networks.
org.encog.neural.som | This package contains classes for the SOM.
org.encog.neural.som.training.basic | This package implements neighborhood training for the SOM.
org.encog.neural.thermal | This package implements thermal neural networks, such as Hopfield and Boltzmann machines.
org.encog.platformspecific.j2se.data.image | This package contains classes used to allow images to be Machine Learning Data.
org.encog.util.normalize |
org.encog.util.simple |

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.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.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()`

Methods in org.encog.ml.data.basic with parameters of type MLData
`void` | `BasicMLDataSet.add(MLData theData)` Add a object to the dataset.
`void` | `BasicMLDataSet.add(MLData inputData, MLData idealData)` Add a set of input and ideal data to the dataset.

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.
`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.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()`

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.kmeans

Methods in org.encog.ml.kmeans that return MLData
`MLData` | `KMeansCluster.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>` | `KMeansCluster.getData()`

Methods in org.encog.ml.kmeans with parameters of type MLData
`void` | `KMeansCluster.add(MLData pair)` Add to the cluster.
`static double` | `KMeansClustering.calculateEuclideanDistance(Centroid c, MLData data)` Calculate the euclidean distance between a centroid and data.
`void` | `KMeansCluster.remove(MLData pair)` Remove the specified item.

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.neat

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

Methods in org.encog.neural.neat with parameters of type MLData
`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
`abstract MLData` | `AbstractPNN.compute(MLData input)` Compute the output from the network.
`MLData` | `BasicPNN.compute(MLData input)` Compute the output from this network.

Methods in org.encog.neural.pnn with parameters of type MLData
`abstract MLData` | `AbstractPNN.compute(MLData input)` Compute the output from the network.
`MLData` | `BasicPNN.compute(MLData input)` Compute the output from this 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 that return MLData
`MLData` | `SOM.compute(MLData input)` Determine the winner for the specified input.

Methods in org.encog.neural.som with parameters of type MLData
`int` | `SOM.classify(MLData input)` Classify the input into a group.
`MLData` | `SOM.compute(MLData input)` Determine the winner for the specified input.
`int` | `SOM.winner(MLData input)` Determine the winner for the specified input.

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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