Method | Description | |
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CrossValidate ( int index, double gamma, double c ) : double |
Cross validate and check the specified index/gamma.
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FinishTraining ( ) : void |
Called to finish training.
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Iteration ( ) : void |
Perform one training iteration.
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SVMTrain ( BasicNetwork network, INeuralDataSet training ) : System |
Construct a trainer for an SVM network.
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Train ( ) : void |
Quickly train all outputs with a C of 1.0 and a gamma equal to 1/(num inputs).
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Train ( double gamma, double c ) : void |
Quickly train the network with a fixed gamma and C.
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Train ( int index, double gamma, double c ) : void |
Quickly train one output with the specified gamma and C.
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Method | Description | |
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Evaluate ( |
Evaluate the error for the specified model.
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Setup ( ) : void |
Setup to train the SVM.
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public CrossValidate ( int index, double gamma, double c ) : double | ||
index | int | The output index to cross validate. |
gamma | double | The gamma to check. |
c | double | The C to check. |
return | double |
public SVMTrain ( BasicNetwork network, INeuralDataSet training ) : System | ||
network | BasicNetwork | The network to train. |
training | INeuralDataSet | The training data for this network. |
return | System |
public Train ( double gamma, double c ) : void | ||
gamma | double | The gamma to use. |
c | double | The C to use. |
return | void |
public Train ( int index, double gamma, double c ) : void | ||
index | int | The output to train. |
gamma | double | The gamma to train with. |
c | double | The C to train with. |
return | void |