public class MLMethodFactory
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
PROPERTY_AF |
static java.lang.String |
PROPERTY_CYCLES |
static java.lang.String |
PROPERTY_POPULATION_SIZE
Population size.
|
static java.lang.String |
TYPE_BAYESIAN
String constant for a bayesian neural network.
|
static java.lang.String |
TYPE_EPL
A Encog program.
|
static java.lang.String |
TYPE_FEEDFORWARD
String constant for feedforward neural networks.
|
static java.lang.String |
TYPE_NEAT
A NEAT neural network.
|
static java.lang.String |
TYPE_PNN
A probabilistic neural network.
|
static java.lang.String |
TYPE_RBFNETWORK
String constant for RBF neural networks.
|
static java.lang.String |
TYPE_SOM
String constant for SOMs.
|
static java.lang.String |
TYPE_SVM
String constant for support vector machines.
|
| Constructor and Description |
|---|
MLMethodFactory() |
| Modifier and Type | Method and Description |
|---|---|
MLMethod |
create(java.lang.String methodType,
java.lang.String architecture,
int input,
int output)
Create a new machine learning method.
|
public static final java.lang.String TYPE_BAYESIAN
public static final java.lang.String TYPE_FEEDFORWARD
public static final java.lang.String TYPE_RBFNETWORK
public static final java.lang.String TYPE_SVM
public static final java.lang.String TYPE_SOM
public static final java.lang.String TYPE_PNN
public static final java.lang.String TYPE_NEAT
public static final java.lang.String TYPE_EPL
public static final java.lang.String PROPERTY_AF
public static final java.lang.String PROPERTY_POPULATION_SIZE
public static final java.lang.String PROPERTY_CYCLES
public MLMethod create(java.lang.String methodType, java.lang.String architecture, int input, int output)
methodType - The method to create.architecture - The architecture string.input - The input count.output - The output count.