Package org.tweetyproject.machinelearning

Interface Trainer<S extends Observation,T extends Category>

Type Parameters:

S - The type of the observations.

T - The type of the categories.

All Known Implementing Classes:

GridSearchParameterLearner, MultiClassRbfTrainer, ParameterTrainer

public interface Trainer<S extends Observation,T extends Category>

The `Trainer` interface represents a generic trainer that can train a classifier on a given set of observations and categories.

Author:

Matthias Thimm

Method Summary

Modifier and Type	Method	Description
ParameterSet	getParameterSet()	Returns the set of parameters for this trainer.
boolean	setParameterSet(ParameterSet params)	Sets the parameters for this trainer (calling this method must ensure that the next time train(TrainingSet<S,T> trainingSet) is used it uses these parameters.
Classifier	train(TrainingSet<S,T> trainingSet)	Trains a classifier on the given training set.
Classifier	train(TrainingSet<S,T> trainingSet, ParameterSet params)	Trains a classifier on the given training set with the given parameters

Method Details

train

Classifier train(TrainingSet<S,T> trainingSet)

Trains a classifier on the given training set.

Parameters:

trainingSet - some training set.

Returns:

a classifier

train

Classifier train(TrainingSet<S,T> trainingSet,
 ParameterSet params)

Trains a classifier on the given training set with the given parameters

Parameters:

trainingSet - some training set.

params - parameters for the training.

Returns:

a classifier

getParameterSet

ParameterSet getParameterSet()

Returns the set of parameters for this trainer.

Returns:

the set of parameters for this trainer.

setParameterSet

boolean setParameterSet(ParameterSet params)

Sets the parameters for this trainer (calling this method must ensure that the next time train(TrainingSet<S,T> trainingSet) is used it uses these parameters.

Parameters:

params - a parameter set.

Returns:

true if the operation was successful.