MLTrainFactory (encog-java-core 3.4 API)

java.lang.Object
- org.encog.ml.factory.MLTrainFactory

```
public class MLTrainFactory
extends java.lang.Object
```
This factory is used to create trainers for machine learning methods.

Field Summary

Fields
Modifier and Type	Field and Description
`static java.lang.String`	`CYCLES` The number of cycles.
`static java.lang.String`	`PROPERTY_BAYESIAN_REGULARIZATION` Property for bayes reg.
`static java.lang.String`	`PROPERTY_C` Property for constant.
`static java.lang.String`	`PROPERTY_DIMENSIONS` Property for dimensions.
`static java.lang.String`	`PROPERTY_END_LEARNING_RATE` Property for ending learning rate.
`static java.lang.String`	`PROPERTY_END_RADIUS` Property for ending radius.
`static java.lang.String`	`PROPERTY_GAMMA` Property for gamma.
`static java.lang.String`	`PROPERTY_INITIAL_UPDATE` Property for init update.
`static java.lang.String`	`PROPERTY_ITERATIONS` Property for iterations.
`static java.lang.String`	`PROPERTY_LEARNING_MOMENTUM` Property for momentum.
`static java.lang.String`	`PROPERTY_LEARNING_RATE` Property for learning rate.
`static java.lang.String`	`PROPERTY_MAX_PARENTS`
`static java.lang.String`	`PROPERTY_MAX_STEP` Property for max step.
`static java.lang.String`	`PROPERTY_NEIGHBORHOOD` Property for neighborhood.
`static java.lang.String`	`PROPERTY_PARTICLES`
`static java.lang.String`	`PROPERTY_POPULATION_SIZE` Population size.
`static java.lang.String`	`PROPERTY_PROPERTY_NEIGHBORHOOD` Property for neighborhood.
`static java.lang.String`	`PROPERTY_RBF_TYPE` Property for rbf type.
`static java.lang.String`	`PROPERTY_START_LEARNING_RATE` Property for starting learning rate.
`static java.lang.String`	`PROPERTY_START_RADIUS` Property for starting radius.
`static java.lang.String`	`PROPERTY_TEMPERATURE_START` The starting temperature.
`static java.lang.String`	`PROPERTY_TEMPERATURE_STOP` The ending temperature.
`static java.lang.String`	`TYPE_ANNEAL` Use simulated annealing.
`static java.lang.String`	`TYPE_BACKPROP` String constant for backprop training.
`static java.lang.String`	`TYPE_BAYESIAN` K2 training for Bayesian.
`static java.lang.String`	`TYPE_EPL_GA` String constant for LMA training.
`static java.lang.String`	`TYPE_GENETIC` Genetic training.
`static java.lang.String`	`TYPE_LMA` String constant for LMA training.
`static java.lang.String`	`TYPE_MANHATTAN` Manhattan training.
`static java.lang.String`	`TYPE_NEAT_GA` String constant for LMA training.
`static java.lang.String`	`TYPE_NELDER_MEAD` K2 training for Bayesian.
`static java.lang.String`	`TYPE_PNN` PNN training.
`static java.lang.String`	`TYPE_PSO`
`static java.lang.String`	`TYPE_QPROP` QPROP training.
`static java.lang.String`	`TYPE_RPROP` String constant for RPROP training.
`static java.lang.String`	`TYPE_SCG` String constant for SCG training.
`static java.lang.String`	`TYPE_SOM_CLUSTER` String constant for SOM-Cluster training.
`static java.lang.String`	`TYPE_SOM_NEIGHBORHOOD` String constant for SOM-Neighborhood training.
`static java.lang.String`	`TYPE_SVD` RBF-SVD training.
`static java.lang.String`	`TYPE_SVM` String constant for SVM training.
`static java.lang.String`	`TYPE_SVM_SEARCH` String constant for SVM-Search training.

Constructor Summary

Constructors
Constructor and Description

MLTrainFactory()

Constructors
Constructor and Description
`MLTrainFactory()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`MLTrain`	`create(MLMethod method, MLDataSet training, java.lang.String type, java.lang.String args)` Create a trainer.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - TYPE_NELDER_MEAD
```
public static final java.lang.String TYPE_NELDER_MEAD
```
    K2 training for Bayesian.
    
    See Also:
    
    Constant Field Values
  - TYPE_BAYESIAN
```
public static final java.lang.String TYPE_BAYESIAN
```
    K2 training for Bayesian.
    
    See Also:
    
    Constant Field Values
  - TYPE_RPROP
```
public static final java.lang.String TYPE_RPROP
```
    String constant for RPROP training.
    
    See Also:
    
    Constant Field Values
  - TYPE_BACKPROP
```
public static final java.lang.String TYPE_BACKPROP
```
    String constant for backprop training.
    
    See Also:
    
    Constant Field Values
  - TYPE_SCG
```
public static final java.lang.String TYPE_SCG
```
    String constant for SCG training.
    
    See Also:
    
    Constant Field Values
  - TYPE_LMA
```
public static final java.lang.String TYPE_LMA
```
    String constant for LMA training.
    
    See Also:
    
    Constant Field Values
  - TYPE_NEAT_GA
```
public static final java.lang.String TYPE_NEAT_GA
```
    String constant for LMA training.
    
    See Also:
    
    Constant Field Values
  - TYPE_EPL_GA
```
public static final java.lang.String TYPE_EPL_GA
```
    String constant for LMA training.
    
    See Also:
    
    Constant Field Values
  - TYPE_SVM
```
public static final java.lang.String TYPE_SVM
```
    String constant for SVM training.
    
    See Also:
    
    Constant Field Values
  - TYPE_SVM_SEARCH
```
public static final java.lang.String TYPE_SVM_SEARCH
```
    String constant for SVM-Search training.
    
    See Also:
    
    Constant Field Values
  - TYPE_SOM_NEIGHBORHOOD
```
public static final java.lang.String TYPE_SOM_NEIGHBORHOOD
```
    String constant for SOM-Neighborhood training.
    
    See Also:
    
    Constant Field Values
  - TYPE_SOM_CLUSTER
```
public static final java.lang.String TYPE_SOM_CLUSTER
```
    String constant for SOM-Cluster training.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_LEARNING_RATE
```
public static final java.lang.String PROPERTY_LEARNING_RATE
```
    Property for learning rate.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_LEARNING_MOMENTUM
```
public static final java.lang.String PROPERTY_LEARNING_MOMENTUM
```
    Property for momentum.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_INITIAL_UPDATE
```
public static final java.lang.String PROPERTY_INITIAL_UPDATE
```
    Property for init update.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_MAX_STEP
```
public static final java.lang.String PROPERTY_MAX_STEP
```
    Property for max step.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_BAYESIAN_REGULARIZATION
```
public static final java.lang.String PROPERTY_BAYESIAN_REGULARIZATION
```
    Property for bayes reg.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_GAMMA
```
public static final java.lang.String PROPERTY_GAMMA
```
    Property for gamma.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_C
```
public static final java.lang.String PROPERTY_C
```
    Property for constant.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_PROPERTY_NEIGHBORHOOD
```
public static final java.lang.String PROPERTY_PROPERTY_NEIGHBORHOOD
```
    Property for neighborhood.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_ITERATIONS
```
public static final java.lang.String PROPERTY_ITERATIONS
```
    Property for iterations.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_START_LEARNING_RATE
```
public static final java.lang.String PROPERTY_START_LEARNING_RATE
```
    Property for starting learning rate.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_END_LEARNING_RATE
```
public static final java.lang.String PROPERTY_END_LEARNING_RATE
```
    Property for ending learning rate.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_START_RADIUS
```
public static final java.lang.String PROPERTY_START_RADIUS
```
    Property for starting radius.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_END_RADIUS
```
public static final java.lang.String PROPERTY_END_RADIUS
```
    Property for ending radius.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_NEIGHBORHOOD
```
public static final java.lang.String PROPERTY_NEIGHBORHOOD
```
    Property for neighborhood.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_RBF_TYPE
```
public static final java.lang.String PROPERTY_RBF_TYPE
```
    Property for rbf type.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_DIMENSIONS
```
public static final java.lang.String PROPERTY_DIMENSIONS
```
    Property for dimensions.
    
    See Also:
    
    Constant Field Values
  - CYCLES
```
public static final java.lang.String CYCLES
```
    The number of cycles.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_TEMPERATURE_START
```
public static final java.lang.String PROPERTY_TEMPERATURE_START
```
    The starting temperature.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_TEMPERATURE_STOP
```
public static final java.lang.String PROPERTY_TEMPERATURE_STOP
```
    The ending temperature.
    
    See Also:
    
    Constant Field Values
  - TYPE_ANNEAL
```
public static final java.lang.String TYPE_ANNEAL
```
    Use simulated annealing.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_POPULATION_SIZE
```
public static final java.lang.String PROPERTY_POPULATION_SIZE
```
    Population size.
    
    See Also:
    
    Constant Field Values
  - TYPE_GENETIC
```
public static final java.lang.String TYPE_GENETIC
```
    Genetic training.
    
    See Also:
    
    Constant Field Values
  - TYPE_MANHATTAN
```
public static final java.lang.String TYPE_MANHATTAN
```
    Manhattan training.
    
    See Also:
    
    Constant Field Values
  - TYPE_SVD
```
public static final java.lang.String TYPE_SVD
```
    RBF-SVD training.
    
    See Also:
    
    Constant Field Values
  - TYPE_PNN
```
public static final java.lang.String TYPE_PNN
```
    PNN training.
    
    See Also:
    
    Constant Field Values
  - TYPE_QPROP
```
public static final java.lang.String TYPE_QPROP
```
    QPROP training.
    
    See Also:
    
    Constant Field Values
  - PROPERTY_MAX_PARENTS
```
public static final java.lang.String PROPERTY_MAX_PARENTS
```
    See Also:
    
    Constant Field Values
  - PROPERTY_PARTICLES
```
public static final java.lang.String PROPERTY_PARTICLES
```
    See Also:
    
    Constant Field Values
  - TYPE_PSO
```
public static final java.lang.String TYPE_PSO
```
    See Also:
    
    Constant Field Values
- Constructor Detail
  - MLTrainFactory
```
public MLTrainFactory()
```
- Method Detail
  - create
```
public MLTrain create(MLMethod method,
                      MLDataSet training,
                      java.lang.String type,
                      java.lang.String args)
```
    Create a trainer.
    
    Parameters:
    
    method - The method to train.
    
    training - The training data.
    
    type - Type type of trainer.
    
    args - The training args.
    
    Returns:
    
    The new training method.

Class MLTrainFactory

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

TYPE_NELDER_MEAD

TYPE_BAYESIAN

TYPE_RPROP

TYPE_BACKPROP

TYPE_SCG

TYPE_LMA

TYPE_NEAT_GA

TYPE_EPL_GA

TYPE_SVM

TYPE_SVM_SEARCH

TYPE_SOM_NEIGHBORHOOD

TYPE_SOM_CLUSTER

PROPERTY_LEARNING_RATE

PROPERTY_LEARNING_MOMENTUM

PROPERTY_INITIAL_UPDATE

PROPERTY_MAX_STEP

PROPERTY_BAYESIAN_REGULARIZATION

PROPERTY_GAMMA

PROPERTY_C

PROPERTY_PROPERTY_NEIGHBORHOOD

PROPERTY_ITERATIONS

PROPERTY_START_LEARNING_RATE

PROPERTY_END_LEARNING_RATE

PROPERTY_START_RADIUS

PROPERTY_END_RADIUS

PROPERTY_NEIGHBORHOOD

PROPERTY_RBF_TYPE

PROPERTY_DIMENSIONS

CYCLES

PROPERTY_TEMPERATURE_START

PROPERTY_TEMPERATURE_STOP

TYPE_ANNEAL

PROPERTY_POPULATION_SIZE

TYPE_GENETIC

TYPE_MANHATTAN

TYPE_SVD

TYPE_PNN

TYPE_QPROP

PROPERTY_MAX_PARENTS

PROPERTY_PARTICLES

TYPE_PSO

Constructor Detail

MLTrainFactory

Method Detail

create