edu.umass.cs.mallet.base.classify
Class ConfidencePredictingClassifierTrainer
java.lang.Object
edu.umass.cs.mallet.base.classify.ClassifierTrainer
edu.umass.cs.mallet.base.classify.ConfidencePredictingClassifierTrainer
- All Implemented Interfaces:
- Boostable
- public class ConfidencePredictingClassifierTrainer
- extends ClassifierTrainer
- implements Boostable
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
ConfidencePredictingClassifierTrainer
public ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer,
Pipe confidencePredictingPipe)
ConfidencePredictingClassifierTrainer
public ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer)
train
public Classifier train(InstanceList trainList,
InstanceList validationList,
InstanceList testSet,
ClassifierEvaluating evaluator,
Classifier initialClassifier)
- Description copied from class:
ClassifierTrainer
- Return a new classifier tuned using the three arguments.
- Specified by:
train
in class ClassifierTrainer
- Parameters:
trainList
- 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.