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Uses of MLData in org.encog.app.analyst.util |
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Methods in org.encog.app.analyst.util with parameters of type MLData | |
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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 |
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Methods in org.encog.ensemble that return MLData | |
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MLData |
Ensemble.compute(MLData input)
Compute the output for a specific input |
MLData |
GenericEnsembleML.compute(MLData input)
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MLData |
EnsembleAggregator.evaluate(ArrayList<MLData> outputs)
|
Methods in org.encog.ensemble with parameters of type MLData | |
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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 | |
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MLData |
EnsembleAggregator.evaluate(ArrayList<MLData> outputs)
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Uses of MLData in org.encog.ensemble.aggregator |
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Methods in org.encog.ensemble.aggregator that return MLData | |
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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 | |
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MLData |
MetaClassifier.evaluate(ArrayList<MLData> outputs)
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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 |
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Methods in org.encog.ensemble.data with parameters of type MLData | |
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void |
EnsembleDataSet.add(MLData data1)
|
void |
EnsembleDataSet.add(MLData inputData,
MLData idealData)
|
Uses of MLData in org.encog.ml |
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Methods in org.encog.ml that return MLData | |
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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 | |
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List<MLData> |
MLCluster.getData()
|
Methods in org.encog.ml with parameters of type MLData | |
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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 |
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Methods in org.encog.ml.bayesian with parameters of type MLData | |
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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 |
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Subinterfaces of MLData in org.encog.ml.data | |
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interface |
MLComplexData
This class implements a data object that can hold complex numbers. |
Methods in org.encog.ml.data that return MLData | |
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MLData |
MLData.clone()
Clone this object. |
MLData |
MLDataPair.getIdeal()
|
MLData |
MLDataPair.getInput()
|
Methods in org.encog.ml.data with parameters of type MLData | |
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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 |
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Methods in org.encog.ml.data.auto with parameters of type MLData | |
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void |
AutoFloatDataSet.add(MLData data1)
|
void |
AutoFloatDataSet.add(MLData inputData,
MLData idealData)
|
Uses of MLData in org.encog.ml.data.basic |
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Classes in org.encog.ml.data.basic that implement MLData | |
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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 | |
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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 | |
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Centroid<MLData> |
BasicMLData.createCentroid()
|
Centroid<MLData> |
BasicMLComplexData.createCentroid()
Not supported. |
Methods in org.encog.ml.data.basic with parameters of type MLData | |
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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 | |
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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 |
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Methods in org.encog.ml.data.buffer with parameters of type MLData | |
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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 |
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Methods in org.encog.ml.data.folded with parameters of type MLData | |
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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 |
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Classes in org.encog.ml.data.sparse that implement MLData | |
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class |
SparseMLData
|
Methods in org.encog.ml.data.sparse that return MLData | |
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MLData |
SparseMLData.clone()
Clone this object. |
Methods in org.encog.ml.data.sparse that return types with arguments of type MLData | |
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Centroid<MLData> |
SparseMLData.createCentroid()
|
Constructors in org.encog.ml.data.sparse with parameters of type MLData | |
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SparseMLData(MLData d)
Construct a new BasicMLData object from an existing one. |
Uses of MLData in org.encog.ml.data.specific |
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Classes in org.encog.ml.data.specific that implement MLData | |
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class |
BiPolarNeuralData
A NeuralData implementation designed to work with bipolar data. |
Methods in org.encog.ml.data.specific that return MLData | |
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MLData |
BiPolarNeuralData.clone()
|
Methods in org.encog.ml.data.specific that return types with arguments of type MLData | |
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Centroid<MLData> |
BiPolarNeuralData.createCentroid()
Not supported. |
Uses of MLData in org.encog.ml.data.temporal |
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Methods in org.encog.ml.data.temporal with parameters of type MLData | |
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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 |
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Methods in org.encog.ml.fitting.gaussian that return MLData | |
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MLData |
GaussianFitting.compute(MLData input)
|
Methods in org.encog.ml.fitting.gaussian with parameters of type MLData | |
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MLData |
GaussianFitting.compute(MLData input)
|
Uses of MLData in org.encog.ml.fitting.linear |
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Methods in org.encog.ml.fitting.linear that return MLData | |
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MLData |
LinearRegression.compute(MLData input)
|
Methods in org.encog.ml.fitting.linear with parameters of type MLData | |
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MLData |
LinearRegression.compute(MLData input)
|
Uses of MLData in org.encog.ml.kmeans |
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Methods in org.encog.ml.kmeans that return MLData | |
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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 | |
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List<MLData> |
BasicCluster.getData()
|
Methods in org.encog.ml.kmeans with parameters of type MLData | |
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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 |
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Methods in org.encog.ml.prg that return MLData | |
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MLData |
EncogProgram.compute(MLData input)
Compute the output from the input MLData. |
Methods in org.encog.ml.prg with parameters of type MLData | |
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MLData |
EncogProgram.compute(MLData input)
Compute the output from the input MLData. |
Uses of MLData in org.encog.ml.prg.train |
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Methods in org.encog.ml.prg.train that return MLData | |
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MLData |
PrgPopulation.compute(MLData input)
Compute the output from the best Genome. |
Methods in org.encog.ml.prg.train with parameters of type MLData | |
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MLData |
PrgPopulation.compute(MLData input)
Compute the output from the best Genome. |
Uses of MLData in org.encog.ml.svm |
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Methods in org.encog.ml.svm that return MLData | |
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MLData |
SVM.compute(MLData input)
Compute the output for the given input. |
Methods in org.encog.ml.svm with parameters of type MLData | |
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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 |
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Methods in org.encog.neural.art that return MLData | |
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MLData |
ART1.compute(MLData input)
Compute the output for the BasicNetwork class. |
Methods in org.encog.neural.art with parameters of type MLData | |
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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 |
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Methods in org.encog.neural.bam that return MLData | |
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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 | |
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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 |
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Methods in org.encog.neural.cpn that return MLData | |
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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 | |
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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 |
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Subinterfaces of MLData in org.encog.neural.data | |
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interface |
NeuralData
This is an alias class for Encog 2.5 compatibility. |
Uses of MLData in org.encog.neural.data.basic |
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Classes in org.encog.neural.data.basic that implement MLData | |
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class |
BasicNeuralData
This is an alias class for Encog 2.5 compatibility. |
Uses of MLData in org.encog.neural.freeform |
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Methods in org.encog.neural.freeform that return MLData | |
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MLData |
FreeformNetwork.compute(MLData input)
Compute regression. |
Methods in org.encog.neural.freeform with parameters of type MLData | |
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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 |
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Methods in org.encog.neural.neat that return MLData | |
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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 | |
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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 |
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Methods in org.encog.neural.networks that return MLData | |
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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 | |
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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 | |
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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 |
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Methods in org.encog.neural.networks.training.pnn that return MLData | |
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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 | |
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MLData |
TrainBasicPNN.computeDeriv(MLData input,
MLData target)
Compute the derivative for target data. |
Uses of MLData in org.encog.neural.pnn |
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Methods in org.encog.neural.pnn that return MLData | |
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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 | |
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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 |
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Methods in org.encog.neural.rbf that return MLData | |
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MLData |
RBFNetwork.compute(MLData input)
Compute regression. |
Methods in org.encog.neural.rbf with parameters of type MLData | |
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MLData |
RBFNetwork.compute(MLData input)
Compute regression. |
Uses of MLData in org.encog.neural.som |
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Methods in org.encog.neural.som with parameters of type MLData | |
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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 |
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Methods in org.encog.neural.som.training.basic with parameters of type MLData | |
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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 |
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Methods in org.encog.neural.thermal that return MLData | |
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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 |
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Classes in org.encog.platformspecific.j2se.data.image that implement MLData | |
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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 |
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Methods in org.encog.util.normalize that return MLData | |
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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 |
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Methods in org.encog.util.simple with parameters of type MLData | |
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static String |
EncogUtility.formatNeuralData(MLData data)
Format neural data as a list of numbers. |
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