jsat.classifiers.boosting

Class AdaBoostM1PL

java.lang.Object

jsat.classifiers.boosting.AdaBoostM1

jsat.classifiers.boosting.AdaBoostM1PL

All Implemented Interfaces:

Serializable, Cloneable, Classifier, Parameterized

public class AdaBoostM1PL
extends AdaBoostM1

An extension to the original AdaBoostM1 algorithm for parallel training. This comes at an increase in classification time.
See: Scalable and Parallel Boosting with MapReduce, Indranil Palit and Chandan K. Reddy, IEEE Transactions on Knowledge and Data Engineering

Author:

Edward Raff

See Also:

Serialized Form

Field Summary

Fields inherited from class jsat.classifiers.boosting.AdaBoostM1

hypoths, hypWeights, predicting

Constructor Summary

Constructors

Constructor and Description
AdaBoostM1PL(Classifier weakLearner, int maxIterations)

Method Summary

Modifier and Type	Method and Description
AdaBoostM1PL	clone()
void	trainC(ClassificationDataSet dataSet) Trains the classifier and constructs a model for classification using the given data set.
void	trainC(ClassificationDataSet dataSet, ExecutorService threadPool) Trains the classifier and constructs a model for classification using the given data set.

Methods inherited from class jsat.classifiers.boosting.AdaBoostM1

classify, getMaxIterations, getModels, getModelWeights, getParameter, getParameters, getWeakLearner, setMaxIterations, setWeakLearner, supportsWeightedData

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AdaBoostM1PL

public AdaBoostM1PL(Classifier weakLearner,
                    int maxIterations)

Method Detail

trainC

public void trainC(ClassificationDataSet dataSet,
                   ExecutorService threadPool)

Description copied from interface: Classifier

Trains the classifier and constructs a model for classification using the given data set. If the training method knows how, it will used the threadPool to conduct training in parallel. This method will block until the training has completed.

Specified by:

trainC in interface Classifier

Overrides:

trainC in class AdaBoostM1

Parameters:

dataSet - the data set to train on

threadPool - the source of threads to use.

trainC

public void trainC(ClassificationDataSet dataSet)

Description copied from interface: Classifier

Trains the classifier and constructs a model for classification using the given data set.

Specified by:

trainC in interface Classifier

Overrides:

trainC in class AdaBoostM1

Parameters:

dataSet - the data set to train on

clone

public AdaBoostM1PL clone()

Specified by:

clone in interface Classifier

Overrides:

clone in class AdaBoostM1