edu.cmu.minorthird.ui
Class Recommended.BoostedDecisionTreeLearner

java.lang.Object
  edu.cmu.minorthird.classify.BatchClassifierLearner
      edu.cmu.minorthird.classify.BatchBinaryClassifierLearner
          edu.cmu.minorthird.classify.algorithms.trees.AdaBoost
              edu.cmu.minorthird.ui.Recommended.BoostedDecisionTreeLearner

All Implemented Interfaces:

BinaryClassifierLearner, ClassifierLearner, java.lang.Cloneable

Enclosing class:

Recommended

public static class Recommended.BoostedDecisionTreeLearner
extends AdaBoost

Uses AdaBoost to boosts the default decision tree learner 10 times.

Reference: Yoav Freund and Robert E. Schapire, Experiments with a New Boosting Algorithm, Proc. of International Conference on Machine Learning, 1996.

Nested Class Summary

Nested classes/interfaces inherited from class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

AdaBoost.L

Field Summary

Fields inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

classifier, dataset

Constructor Summary

Recommended.BoostedDecisionTreeLearner()

Method Summary

Methods inherited from class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost

batchTrain, discountFactor, getBaseLearner, getMaxRounds, setBaseLearner, setMaxRounds

Methods inherited from class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

batchTrainBinary, getBinaryClassifier, getSchema, setSchema

Methods inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.cmu.minorthird.classify.ClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Constructor Detail

Recommended.BoostedDecisionTreeLearner

public Recommended.BoostedDecisionTreeLearner()