|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Uses of MLDataPair in org.encog.ensemble.data |
---|
Methods in org.encog.ensemble.data that return MLDataPair | |
---|---|
MLDataPair |
EnsembleDataSet.get(int index)
|
Methods in org.encog.ensemble.data that return types with arguments of type MLDataPair | |
---|---|
Iterator<MLDataPair> |
EnsembleDataSet.iterator()
|
Methods in org.encog.ensemble.data with parameters of type MLDataPair | |
---|---|
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 | |
---|---|
MLDataPair |
MLDataSet.get(int index)
|
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.auto |
---|
Methods in org.encog.ml.data.auto that return MLDataPair | |
---|---|
MLDataPair |
AutoFloatDataSet.get(int index)
|
MLDataPair |
AutoFloatDataSet.AutoFloatIterator.next()
|
Methods in org.encog.ml.data.auto that return types with arguments of type MLDataPair | |
---|---|
Iterator<MLDataPair> |
AutoFloatDataSet.iterator()
|
Methods in org.encog.ml.data.auto with parameters of type MLDataPair | |
---|---|
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 | |
---|---|
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 |
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 | |
---|---|
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 | |
---|---|
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 | |
---|---|
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. |
|
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 | |
---|---|
MLDataPair |
BufferedMLDataSet.get(int index)
|
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 |
FoldedDataSet.get(int index)
|
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.ml.hmm.alog |
---|
Methods in org.encog.ml.hmm.alog that return MLDataPair | |
---|---|
MLDataPair |
MarkovGenerator.observation()
|
Methods in org.encog.ml.hmm.alog with parameters of type MLDataPair | |
---|---|
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 | |
---|---|
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 | |
---|---|
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 | |
---|---|
Collection<MLDataPair> |
Clusters.cluster(int clusterNb)
|
Methods in org.encog.ml.hmm.train.kmeans with parameters of type MLDataPair | |
---|---|
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 | |
---|---|
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.arrayutil |
---|
Methods in org.encog.util.arrayutil that return MLDataPair | |
---|---|
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 | |
---|---|
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. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |