|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
| Packages that use MLDataPair | |
|---|---|
| org.encog.app.analyst.csv | This package contains all of the classes for directly working with CSV files, used by the analyst. |
| 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.temporal | |
| 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.util.normalize.input | |
| Uses of MLDataPair in org.encog.app.analyst.csv |
|---|
| Classes in org.encog.app.analyst.csv that implement MLDataPair | |
|---|---|
class |
ClusterRow
Holds input data and the CSV row for a cluster item. |
| Uses of MLDataPair in org.encog.ml.data |
|---|
| 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.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 |
BasicMLDataSet.BasicMLIterator.next()
|
| Methods in org.encog.ml.data.basic that return types with arguments of type MLDataPair | |
|---|---|
List<MLDataPair> |
BasicMLDataSet.getData()
Get the data held by this container. |
Iterator<MLDataPair> |
BasicMLDataSet.iterator()
|
| Methods in org.encog.ml.data.basic with parameters of type MLDataPair | |
|---|---|
void |
BasicMLDataSet.add(MLDataPair inputData)
Add a an object to the dataset. |
void |
BasicMLDataSet.getRecord(long index,
MLDataPair pair)
Read an individual record, specified by index, in random order. |
| 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. |
|
| Uses of MLDataPair in org.encog.ml.data.buffer |
|---|
| Methods in org.encog.ml.data.buffer that return MLDataPair | |
|---|---|
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 |
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.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.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 | |||||||||