Modifier and Type | Method and Description |
---|---|
BasicMLDataSet |
MemoryDataLoader.getResult() |
Modifier and Type | Method and Description |
---|---|
void |
MemoryDataLoader.setResult(BasicMLDataSet theResult)
Set the resulting dataset.
|
Modifier and Type | Class and Description |
---|---|
class |
MarketMLDataSet
A data set that is designed to hold market data.
|
Modifier and Type | Class and Description |
---|---|
class |
CSVNeuralDataSet
An implementation of the NeuralDataSet interface designed to provide a CSV
file to the neural network.
|
Modifier and Type | Class and Description |
---|---|
class |
TemporalMLDataSet
This class implements a temporal neural data set.
|
Modifier and Type | Class and Description |
---|---|
class |
BasicNeuralDataSet
This is an alias class for Encog 2.5 compatibility.
|
Modifier and Type | Method and Description |
---|---|
BasicMLDataSet |
BasicPNN.getSamples() |
Modifier and Type | Method and Description |
---|---|
void |
BasicPNN.setSamples(BasicMLDataSet samples) |
Modifier and Type | Class and Description |
---|---|
class |
SQLNeuralDataSet
A dataset based on a SQL query.
|
Modifier and Type | Class and Description |
---|---|
class |
ImageMLDataSet
Store a collection of images for training with a neural network.
|
Modifier and Type | Method and Description |
---|---|
static BasicMLDataSet |
RandomTrainingFactory.generate(long seed,
int count,
int inputCount,
int idealCount,
double min,
double max)
Generate a random training set.
|
Copyright © 2014. All Rights Reserved.