public class NystromLSSVM<T> extends java.lang.Object implements Classifier<T>
| Constructor and Description |
|---|
NystromLSSVM(Kernel<T> k) |
| Modifier and Type | Method and Description |
|---|---|
Classifier<T> |
copy()
Creates and returns a copy of this object.
|
double |
getC()
Get the C svm hyperparameter
|
int |
getIteration()
Get the number of iterations used by the active learning strategy of the
Nystrom kernel
|
double |
getPercent()
Get the percentage of training set that is used to train the Nystrom
approximation kernel
|
void |
setC(double c)
Set the C svm hyperparameter
|
void |
setIteration(int iteration)
Set the number of iteration to use in the Nystrom approximation
|
void |
setPercent(double percent)
Set the percentage of training set to be used for training the Nystrom
approximation kernel
|
void |
train(java.util.List<TrainingSample<T>> l)
Replace the current training list and train the classifier
|
void |
train(TrainingSample<T> t)
Add a single example to the current training set and train the classifier
|
double |
valueOf(T e)
Computes the category of the provided example
|
public void train(TrainingSample<T> t)
Classifiertrain in interface Classifier<T>t - the training samplepublic void train(java.util.List<TrainingSample<T>> l)
Classifiertrain in interface Classifier<T>l - list of training samplespublic double valueOf(T e)
ClassifiervalueOf in interface Classifier<T>e - examplepublic Classifier<T> copy() throws java.lang.CloneNotSupportedException
Classifiercopy in interface Classifier<T>java.lang.CloneNotSupportedExceptionObject.clone()public double getPercent()
public void setPercent(double percent)
percent - the percetage to usepublic int getIteration()
public void setIteration(int iteration)
iteration - the number of iterationpublic double getC()
public void setC(double c)
c - Chyperparameter