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java.lang.Objectorg.encog.ml.train.BasicTraining
org.encog.ml.svm.training.SVMTrain
public class SVMTrain
Provides training for Support Vector Machine networks.
Constructor Summary | |
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SVMTrain(SVM method,
MLDataSet dataSet)
Construct a trainer for an SVM network. |
Method Summary | |
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boolean |
canContinue()
|
double |
getC()
|
int |
getFold()
|
double |
getGamma()
|
MLMethod |
getMethod()
Get the current best machine learning method from the training. |
svm_problem |
getProblem()
|
boolean |
isTrainingDone()
|
void |
iteration()
Perform either a train or a cross validation. |
TrainingContinuation |
pause()
Pause the training to continue later. |
void |
resume(TrainingContinuation state)
Resume training. |
void |
setC(double theC)
Set the constant C. |
void |
setFold(int theFold)
Set the number of folds. |
void |
setGamma(double theGamma)
Set the gamma. |
Methods inherited from class org.encog.ml.train.BasicTraining |
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addStrategy, finishTraining, getError, getImplementationType, getIteration, getStrategies, getTraining, iteration, postIteration, preIteration, setError, setIteration, setTraining |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public SVMTrain(SVM method, MLDataSet dataSet)
method
- The network to train.dataSet
- The training data for this network.Method Detail |
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public boolean canContinue()
public double getC()
public int getFold()
public double getGamma()
public MLMethod getMethod()
public svm_problem getProblem()
public boolean isTrainingDone()
isTrainingDone
in interface MLTrain
isTrainingDone
in class BasicTraining
public void iteration()
public final TrainingContinuation pause()
public void resume(TrainingContinuation state)
state
- The training continuation object to use to continue.public void setC(double theC)
theC
- The constant C.public void setFold(int theFold)
theFold
- the fold to set.public void setGamma(double theGamma)
theGamma
- The new gamma.
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