| Package | Description | 
|---|---|
| net.sf.tweety.machinelearning | |
| net.sf.tweety.machinelearning.svm | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
GridSearchParameterLearner<S extends Observation,T extends Category>
A grid-search approach for learning parameters. 
 | 
class  | 
ParameterTrainer<S extends Observation,T extends Category>
Performs a parameter training on a given trainer, i.e. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private Trainer<S,T> | 
ParameterTrainer.trainer
The trainer for which we seek the best parameters. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
protected Trainer<S,T> | 
ParameterTrainer.getTrainer()
Returns the trainer of this parameter trainer. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
abstract double | 
ClassificationTester.test(Trainer<S,T> trainer,
    TrainingSet<S,T> trainingSet)
This methods takes a trainer and a training set and returns the performance
 (in [0,1]) of the trained classifier on the training set (e.g. 
 | 
double | 
CrossValidator.test(Trainer<S,T> trainer,
    TrainingSet<S,T> trainingSet)  | 
| Constructor and Description | 
|---|
GridSearchParameterLearner(Trainer<S,T> trainer,
                          ClassificationTester<S,T> tester,
                          int depth,
                          int partitions)
Creates a new grid-search parameter learner with the given arguments. 
 | 
ParameterTrainer(Trainer<S,T> trainer)
Creates a new parameter trainer for the given trainer. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MultiClassRbfTrainer
Trains a standard multi-class RBF support vector machine. 
 |