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

Packages that use MLData
org.encog.app.analyst.util |
org.encog.ensemble |
org.encog.ensemble.aggregator |
org.encog.ensemble.data |
org.encog.ml |
org.encog.ml.bayesian |
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.sparse |
org.encog.ml.data.specific |
org.encog.ml.data.temporal |
org.encog.ml.fitting.gaussian |
org.encog.ml.fitting.linear |
org.encog.ml.kmeans |
org.encog.ml.prg |
org.encog.ml.prg.train |
org.encog.ml.svm |
org.encog.neural.art |
org.encog.neural.bam |
org.encog.neural.cpn |
org.encog.neural.data |
org.encog.neural.data.basic |
org.encog.neural.freeform |
org.encog.neural.neat |
org.encog.neural.networks |
org.encog.neural.networks.training.pnn |
org.encog.neural.pnn |
org.encog.neural.rbf |
org.encog.neural.som |
org.encog.neural.som.training.basic |
org.encog.neural.thermal |
org.encog.platformspecific.j2se.data.image |
org.encog.util.normalize |
org.encog.util.simple |

Uses of MLData in org.encog.app.analyst.util

Methods in org.encog.app.analyst.util with parameters of type MLData
`void` | `AnalystUtility.decode(boolean includeInput, boolean includeOutput, double[] rawData, MLData encodedData)` Decode fields, using the analyst.
`void` | `AnalystUtility.encode(boolean includeInput, boolean includeOutput, double[] rawData, MLData encodedData)` Encode fields, using the analyst.

Uses of MLData in org.encog.ensemble

Methods in org.encog.ensemble that return MLData
`MLData` | `Ensemble.compute(MLData input)` Compute the output for a specific input
`MLData` | `GenericEnsembleML.compute(MLData input)`
`MLData` | `EnsembleAggregator.evaluate(ArrayList<MLData> outputs)`

Methods in org.encog.ensemble with parameters of type MLData
`int` | `GenericEnsembleML.classify(MLData input)`
`MLData` | `Ensemble.compute(MLData input)` Compute the output for a specific input
`MLData` | `GenericEnsembleML.compute(MLData input)`
`int` | `GenericEnsembleML.winner(MLData output)`

Method parameters in org.encog.ensemble with type arguments of type MLData
`MLData` | `EnsembleAggregator.evaluate(ArrayList<MLData> outputs)`

Uses of MLData in org.encog.ensemble.aggregator

Methods in org.encog.ensemble.aggregator that return MLData
`MLData` | `MetaClassifier.evaluate(ArrayList<MLData> outputs)`
`MLData` | `MajorityVoting.evaluate(ArrayList<MLData> outputs)`
`MLData` | `Averaging.evaluate(ArrayList<MLData> outputs)`
`MLData` | `MajorityVoting.evaluate(ArrayList<MLData> outputs, double threshold, double lowValue, double highValue)`

Method parameters in org.encog.ensemble.aggregator with type arguments of type MLData
`MLData` | `MetaClassifier.evaluate(ArrayList<MLData> outputs)`
`MLData` | `MajorityVoting.evaluate(ArrayList<MLData> outputs)`
`MLData` | `Averaging.evaluate(ArrayList<MLData> outputs)`
`MLData` | `MajorityVoting.evaluate(ArrayList<MLData> outputs, double threshold, double lowValue, double highValue)`

Uses of MLData in org.encog.ensemble.data

Methods in org.encog.ensemble.data with parameters of type MLData
`void` | `EnsembleDataSet.add(MLData data1)`
`void` | `EnsembleDataSet.add(MLData inputData, MLData idealData)`

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.bayesian

Methods in org.encog.ml.bayesian with parameters of type MLData
`int` | `BayesianNetwork.classify(MLData input)` Classify the input.
`double` | `BayesianNetwork.computeProbability(MLData input)`
`int[]` | `BayesianNetwork.determineClasses(MLData input)` Determine the classes for the specified input.

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.auto

Methods in org.encog.ml.data.auto with parameters of type MLData
`void` | `AutoFloatDataSet.add(MLData data1)`
`void` | `AutoFloatDataSet.add(MLData inputData, MLData idealData)`

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()`
`MLData` | `BasicMLData.minus(MLData o)` Subtract one data element from another.
`MLData` | `BasicMLData.plus(MLData o)` Add one data element to another.
`MLData` | `BasicMLData.times(double d)` Multiply one data element with another.

Methods in org.encog.ml.data.basic that return types with arguments of type MLData
`Centroid<MLData>` | `BasicMLData.createCentroid()`
`Centroid<MLData>` | `BasicMLComplexData.createCentroid()` Not supported.

Methods in org.encog.ml.data.basic with parameters of type MLData
`void` | `BasicMLDataCentroid.add(MLData d)` Add an element to the centroid.
`void` | `BasicMLSequenceSet.add(MLData theData)` Add a object to the dataset.
`void` | `BasicMLDataSet.add(MLData theData)` Add a object to the dataset.
`void` | `BasicMLSequenceSet.add(MLData inputData, MLData idealData)` Add a set of input and ideal data to the dataset.
`void` | `BasicMLDataSet.add(MLData inputData, MLData idealData)` Add a set of input and ideal data to the dataset.
`double` | `BasicMLDataCentroid.distance(MLData d)` The distance between this centroid and an element.
`MLData` | `BasicMLData.minus(MLData o)` Subtract one data element from another.
`MLData` | `BasicMLData.plus(MLData o)` Add one data element to another.
`void` | `BasicMLDataCentroid.remove(MLData d)` Remove an element from the centroid.

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.
`BasicMLDataCentroid(MLData o)` Construct the centroid.
`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.sparse

Classes in org.encog.ml.data.sparse that implement MLData
`class` | `SparseMLData`

Methods in org.encog.ml.data.sparse that return MLData
`MLData` | `SparseMLData.clone()` Clone this object.

Methods in org.encog.ml.data.sparse that return types with arguments of type MLData
`Centroid<MLData>` | `SparseMLData.createCentroid()`

Constructors in org.encog.ml.data.sparse with parameters of type MLData
`SparseMLData(MLData d)` Construct a new BasicMLData object from an existing one.

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()`

Methods in org.encog.ml.data.specific that return types with arguments of type MLData
`Centroid<MLData>` | `BiPolarNeuralData.createCentroid()` Not supported.

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.fitting.gaussian

Methods in org.encog.ml.fitting.gaussian that return MLData
`MLData` | `GaussianFitting.compute(MLData input)`

Methods in org.encog.ml.fitting.gaussian with parameters of type MLData
`MLData` | `GaussianFitting.compute(MLData input)`

Uses of MLData in org.encog.ml.fitting.linear

Methods in org.encog.ml.fitting.linear that return MLData
`MLData` | `LinearRegression.compute(MLData input)`

Methods in org.encog.ml.fitting.linear with parameters of type MLData
`MLData` | `LinearRegression.compute(MLData input)`

Uses of MLData in org.encog.ml.kmeans

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

Methods in org.encog.ml.kmeans with parameters of type MLData
`void` | `BasicCluster.add(MLData pair)` Add to the cluster.
`void` | `BasicCluster.remove(MLData pair)` Remove the specified item.

Uses of MLData in org.encog.ml.prg

Methods in org.encog.ml.prg that return MLData
`MLData` | `EncogProgram.compute(MLData input)` Compute the output from the input MLData.

Methods in org.encog.ml.prg with parameters of type MLData
`MLData` | `EncogProgram.compute(MLData input)` Compute the output from the input MLData.

Uses of MLData in org.encog.ml.prg.train

Methods in org.encog.ml.prg.train that return MLData
`MLData` | `PrgPopulation.compute(MLData input)` Compute the output from the best Genome.

Methods in org.encog.ml.prg.train with parameters of type MLData
`MLData` | `PrgPopulation.compute(MLData input)` Compute the output from the best Genome.

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.freeform

Methods in org.encog.neural.freeform that return MLData
`MLData` | `FreeformNetwork.compute(MLData input)` Compute regression.

Methods in org.encog.neural.freeform with parameters of type MLData
`int` | `FreeformNetwork.classify(MLData input)` Classify the input into a group.
`MLData` | `FreeformNetwork.compute(MLData input)` Compute regression.

Uses of MLData in org.encog.neural.neat

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

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

Methods in org.encog.neural.pnn with parameters of type MLData
`int` | `BasicPNN.classify(MLData input)` Classify the input into a group.
`MLData` | `BasicPNN.compute(MLData input)` Compute the output from this network.
`abstract MLData` | `AbstractPNN.compute(MLData input)` Compute the output from the 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 with parameters of type MLData
`int` | `SOM.classify(MLData input)` Classify the input into a group.
`int` | `SOM.winner(MLData input)` An alias for the classify method, kept for compatibility with earlier versions of Encog.

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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