Modifier and Type | Method and Description |
---|---|
MLDataPair |
EnsembleDataSet.get(int index) |
Modifier and Type | Method and Description |
---|---|
Iterator<MLDataPair> |
EnsembleDataSet.iterator() |
Modifier and Type | Method and Description |
---|---|
void |
EnsembleDataSet.add(MLDataPair inputData) |
void |
EnsembleDataSet.getRecord(long index,
MLDataPair pair) |
Modifier and Type | Method and Description |
---|---|
MLDataPair |
MLDataSet.get(int index) |
Modifier and Type | Method and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
MLDataPair |
AutoFloatDataSet.get(int index) |
MLDataPair |
AutoFloatDataSet.AutoFloatIterator.next() |
Modifier and Type | Method and Description |
---|---|
Iterator<MLDataPair> |
AutoFloatDataSet.iterator() |
Modifier and Type | Method and Description |
---|---|
void |
AutoFloatDataSet.add(MLDataPair inputData) |
void |
AutoFloatDataSet.getRecord(long index,
MLDataPair pair) |
Modifier and Type | Class and Description |
---|---|
class |
BasicMLDataPair
A basic implementation of the MLDataPair interface.
|
Modifier and Type | Method and Description |
---|---|
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() |
Modifier and Type | Method and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
void |
BasicMLDataSet.setData(List<MLDataPair> theData) |
Constructor and Description |
---|
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.
|
Modifier and Type | Method and Description |
---|---|
MLDataPair |
BufferedMLDataSet.get(int index) |
MLDataPair |
BufferedDataSetIterator.next() |
Modifier and Type | Method and Description |
---|---|
Iterator<MLDataPair> |
BufferedMLDataSet.iterator() |
Modifier and Type | Method and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
MLDataPair |
FoldedDataSet.get(int index) |
MLDataPair |
FoldedIterator.next() |
Modifier and Type | Method and Description |
---|---|
Iterator<MLDataPair> |
FoldedDataSet.iterator() |
Modifier and Type | Method and Description |
---|---|
void |
FoldedDataSet.add(MLDataPair inputData)
Not supported.
|
void |
FoldedDataSet.getRecord(long index,
MLDataPair pair)
Read an individual record, specified by index, in random order.
|
Modifier and Type | Method and Description |
---|---|
void |
TemporalMLDataSet.add(MLDataPair inputData)
Adding directly is not supported.
|
Modifier and Type | Method and Description |
---|---|
MLDataPair |
MatrixMLDataSet.get(int index) |
MLDataPair |
MatrixMLDataSet.MatrixMLDataSetIterator.next() |
Modifier and Type | Method and Description |
---|---|
Iterator<MLDataPair> |
MatrixMLDataSet.iterator() |
Modifier and Type | Method and Description |
---|---|
void |
MatrixMLDataSet.add(MLDataPair inputData)
Add a an object to the dataset.
|
void |
MatrixMLDataSet.getRecord(long index,
MLDataPair pair)
Read an individual record, specified by index, in random order.
|
Modifier and Type | Method and Description |
---|---|
MLDataPair |
MarkovGenerator.observation() |
Modifier and Type | Method and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
Collection<MLDataPair> |
Clusters.cluster(int clusterNb) |
Modifier and Type | Method and Description |
---|---|
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) |
Modifier and Type | Interface and Description |
---|---|
interface |
NeuralDataPair
This is an alias class for Encog 2.5 compatibility.
|
Modifier and Type | Class and Description |
---|---|
class |
BasicNeuralDataPair
This is an alias class for Encog 2.5 compatibility.
|
Constructor and Description |
---|
BasicNeuralDataSet(List<MLDataPair> theData)
Construct from another list.
|
Modifier and Type | Method and Description |
---|---|
MLDataPair |
TemporalWindowArray.processToPair(double[] data)
Process the data array and returns an MLdatapair.
|
Modifier and Type | Method and Description |
---|---|
MLDataPair |
MLDataFieldHolder.getPair() |
Modifier and Type | Method and Description |
---|---|
Iterator<MLDataPair> |
MLDataFieldHolder.getIterator() |
Modifier and Type | Method and Description |
---|---|
void |
MLDataFieldHolder.setPair(MLDataPair pair)
Set the pair.
|
Constructor and Description |
---|
MLDataFieldHolder(Iterator<MLDataPair> iterator,
InputFieldMLDataSet field)
Construct the class.
|
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