edu.umass.cs.mallet.base.classify
Class AdaBoostTrainer
java.lang.Object
edu.umass.cs.mallet.base.classify.ClassifierTrainer
edu.umass.cs.mallet.base.classify.AdaBoostTrainer
- public class AdaBoostTrainer
- extends ClassifierTrainer
This version of AdaBoost should be used only for binary classification.
Use AdaBoost.M2 for multi-class problems.
Robert E. Schapire.
"A decision-theoretic generalization of on-line learning and
an application to boosting"
In Journal of Computer and System Sciences
http://www.cs.princeton.edu/~schapire/uncompress-papers.cgi/FreundSc95.ps
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
AdaBoostTrainer
public AdaBoostTrainer(ClassifierTrainer weakLearner,
int numRounds)
AdaBoostTrainer
public AdaBoostTrainer(ClassifierTrainer weakLearner)
train
public Classifier train(InstanceList trainingList,
InstanceList validationList,
InstanceList testSet,
ClassifierEvaluating evaluator,
Classifier initialClassifier)
- Boosting method that resamples instances using their weights
- Specified by:
train
in class ClassifierTrainer
- Parameters:
trainingList
- examples used to set parameters.validationList
- examples used to tune meta-parameters. May be null.testSet
- examples not examined at all for training, but passed on to diagnostic routines. May be null.initialClassifier
- training process may start from here. The parameters of the initialClassifier are not modified. May be null.