SVMSearchTrain (encog-java-core 3.4 API)

java.lang.Object
- org.encog.ml.train.BasicTraining
- - org.encog.ml.svm.training.SVMSearchTrain

All Implemented Interfaces:

MLTrain
```
public class SVMSearchTrain
extends BasicTraining
```
Provides training for Support Vector Machine networks.

Field Summary

Fields
Modifier and Type	Field and Description
`static double`	`DEFAULT_CONST_BEGIN` The default starting number for C.
`static double`	`DEFAULT_CONST_END` The default ending number for C.
`static double`	`DEFAULT_CONST_STEP` The default step for C.
`static double`	`DEFAULT_GAMMA_BEGIN` The default gamma begin.
`static double`	`DEFAULT_GAMMA_END` The default gamma end.
`static double`	`DEFAULT_GAMMA_STEP` The default gamma step.

Constructor Summary

Constructors
Constructor and Description

SVMSearchTrain(SVM method, MLDataSet training)
Construct a trainer for an SVM network.

Constructors
Constructor and Description
`SVMSearchTrain(SVM method, MLDataSet training)` Construct a trainer for an SVM network.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`canContinue()`
`void`	`finishTraining()` Should be called after training has completed and the iteration method will not be called any further.
`double`	`getBestConst()`
`double`	`getBestGamma()`
`double`	`getConstBegin()`
`double`	`getConstEnd()`
`double`	`getConstStep()`
`int`	`getFold()`
`double`	`getGammaBegin()`
`double`	`getGammaEnd()`
`double`	`getGammaStep()`
`MLMethod`	`getMethod()` Get the current best machine learning method from the training.
`boolean`	`isTrainingDone()`
`void`	`iteration()` Perform one training iteration.
`TrainingContinuation`	`pause()` Pause the training to continue later.
`void`	`resume(TrainingContinuation state)` Resume training.
`void`	`setBestConst(double bestConst)`
`void`	`setBestGamma(double bestGamma)`
`void`	`setConstBegin(double theConstBegin)`
`void`	`setConstEnd(double theConstEnd)`
`void`	`setConstStep(double theConstStep)`
`void`	`setFold(int theFold)`
`void`	`setGammaBegin(double theGammaBegin)`
`void`	`setGammaEnd(double theGammaEnd)`
`void`	`setGammaStep(double theGammaStep)`

Methods inherited from class org.encog.ml.train.BasicTraining
addStrategy, getError, getImplementationType, getIteration, getStrategies, getTraining, iteration, postIteration, preIteration, setError, setIteration, setTraining

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

- Field Detail
  - DEFAULT_CONST_BEGIN
```
public static final double DEFAULT_CONST_BEGIN
```
    The default starting number for C.
    
    See Also:
    
    Constant Field Values
  - DEFAULT_CONST_END
```
public static final double DEFAULT_CONST_END
```
    The default ending number for C.
    
    See Also:
    
    Constant Field Values
  - DEFAULT_CONST_STEP
```
public static final double DEFAULT_CONST_STEP
```
    The default step for C.
    
    See Also:
    
    Constant Field Values
  - DEFAULT_GAMMA_BEGIN
```
public static final double DEFAULT_GAMMA_BEGIN
```
    The default gamma begin.
    
    See Also:
    
    Constant Field Values
  - DEFAULT_GAMMA_END
```
public static final double DEFAULT_GAMMA_END
```
    The default gamma end.
    
    See Also:
    
    Constant Field Values
  - DEFAULT_GAMMA_STEP
```
public static final double DEFAULT_GAMMA_STEP
```
    The default gamma step.
    
    See Also:
    
    Constant Field Values
- Constructor Detail
  - SVMSearchTrain
```
public SVMSearchTrain(SVM method,
                      MLDataSet training)
```
    Construct a trainer for an SVM network.
    
    Parameters:
    
    method - The method to train.
    
    training - The training data for this network.
- Method Detail
  - canContinue
```
public boolean canContinue()
```
    Returns:
    
    True if the training can be paused, and later continued.
  - finishTraining
```
public void finishTraining()
```
    Should be called after training has completed and the iteration method will not be called any further.
    
    Specified by:
    
    finishTraining in interface MLTrain
    
    Overrides:
    
    finishTraining in class BasicTraining
  - getConstBegin
```
public double getConstBegin()
```
    Returns:
    
    the constBegin
  - getConstEnd
```
public double getConstEnd()
```
    Returns:
    
    the constEnd
  - getConstStep
```
public double getConstStep()
```
    Returns:
    
    the constStep
  - getFold
```
public int getFold()
```
    Returns:
    
    the fold
  - getGammaBegin
```
public double getGammaBegin()
```
    Returns:
    
    the gammaBegin
  - getGammaEnd
```
public double getGammaEnd()
```
    Returns:
    
    the gammaEnd
  - getGammaStep
```
public double getGammaStep()
```
    Returns:
    
    the gammaStep
  - getMethod
```
public MLMethod getMethod()
```
    Get the current best machine learning method from the training.
    
    Returns:
    
    The best machine learning method.
  - isTrainingDone
```
public boolean isTrainingDone()
```
    Specified by:
    
    isTrainingDone in interface MLTrain
    
    Overrides:
    
    isTrainingDone in class BasicTraining
    
    Returns:
    
    True if the training is done.
  - iteration
```
public void iteration()
```
    Perform one training iteration.
  - pause
```
public TrainingContinuation pause()
```
    Pause the training to continue later.
    
    Returns:
    
    A training continuation object.
  - resume
```
public void resume(TrainingContinuation state)
```
    Resume training.
    
    Parameters:
    
    state - The training continuation object to use to continue.
  - setConstBegin
```
public void setConstBegin(double theConstBegin)
```
    Parameters:
    
    theConstBegin - the constBegin to set
  - setConstEnd
```
public void setConstEnd(double theConstEnd)
```
    Parameters:
    
    theConstEnd - the constEnd to set
  - setConstStep
```
public void setConstStep(double theConstStep)
```
    Parameters:
    
    theConstStep - the constStep to set
  - setFold
```
public void setFold(int theFold)
```
    Parameters:
    
    theFold - the fold to set
  - setGammaBegin
```
public void setGammaBegin(double theGammaBegin)
```
    Parameters:
    
    theGammaBegin - the gammaBegin to set
  - setGammaEnd
```
public final void setGammaEnd(double theGammaEnd)
```
    Parameters:
    
    theGammaEnd - the gammaEnd to set.
  - setGammaStep
```
public final void setGammaStep(double theGammaStep)
```
    Parameters:
    
    theGammaStep - the gammaStep to set
  - getBestConst
```
public double getBestConst()
```
    Returns:
    
    the bestConst
  - setBestConst
```
public void setBestConst(double bestConst)
```
    Parameters:
    
    bestConst - the bestConst to set
  - getBestGamma
```
public double getBestGamma()
```
    Returns:
    
    the bestGamma
  - setBestGamma
```
public void setBestGamma(double bestGamma)
```
    Parameters:
    
    bestGamma - the bestGamma to set

Class SVMSearchTrain

Field Summary

Constructor Summary

Method Summary

Methods inherited from class org.encog.ml.train.BasicTraining

Methods inherited from class java.lang.Object

Field Detail

DEFAULT_CONST_BEGIN

DEFAULT_CONST_END

DEFAULT_CONST_STEP

DEFAULT_GAMMA_BEGIN

DEFAULT_GAMMA_END

DEFAULT_GAMMA_STEP

Constructor Detail

SVMSearchTrain

Method Detail

canContinue

finishTraining

getConstBegin

getConstEnd

getConstStep

getFold

getGammaBegin

getGammaEnd

getGammaStep

getMethod

isTrainingDone

iteration

pause

resume

setConstBegin

setConstEnd

setConstStep

setFold

setGammaBegin

setGammaEnd

setGammaStep

getBestConst

setBestConst

getBestGamma

setBestGamma