Package | Description |
---|---|
net.sf.tweety.machinelearning | |
net.sf.tweety.machinelearning.svm |
Modifier and Type | Method and Description |
---|---|
private ParameterSet |
GridSearchParameterLearner.adjustParameterSet(ParameterSet set,
int[] indices,
double[] lowerBounds,
double[] upperBounds)
Determine for all parameters of the set a new value, determined by partitioning [lowerBound,upperBound]
into this.partitions number of sub intervals and then taking the center point of the partition no.
|
ParameterSet |
Trainer.getParameterSet()
Returns the set of parameters for this trainer.
|
ParameterSet |
ParameterTrainer.getParameterSet() |
ParameterSet |
GridSearchParameterLearner.learnParameters(TrainingSet<S,T> trainingSet) |
abstract ParameterSet |
ParameterTrainer.learnParameters(TrainingSet<S,T> trainingSet)
Learns the best parameters of the given trainer for the training set.
|
Modifier and Type | Method and Description |
---|---|
private ParameterSet |
GridSearchParameterLearner.adjustParameterSet(ParameterSet set,
int[] indices,
double[] lowerBounds,
double[] upperBounds)
Determine for all parameters of the set a new value, determined by partitioning [lowerBound,upperBound]
into this.partitions number of sub intervals and then taking the center point of the partition no.
|
boolean |
Trainer.setParameterSet(ParameterSet params)
Sets the parameters for this trainer (calling this
method must ensure that the next time
train(TrainingSet
is used it uses these parameters. |
boolean |
ParameterTrainer.setParameterSet(ParameterSet params) |
Classifier |
Trainer.train(TrainingSet<S,T> trainingSet,
ParameterSet params)
Trains a classifier on the given training set with the given parameters
|
Classifier |
ParameterTrainer.train(TrainingSet<S,T> trainingSet,
ParameterSet params) |
Modifier and Type | Method and Description |
---|---|
ParameterSet |
MultiClassRbfTrainer.getParameterSet() |
Modifier and Type | Method and Description |
---|---|
boolean |
MultiClassRbfTrainer.setParameterSet(ParameterSet params) |
SupportVectorMachine |
MultiClassRbfTrainer.train(TrainingSet<DefaultObservation,DoubleCategory> trainingSet,
ParameterSet params) |