edu.cmu.minorthird.classify.algorithms.trees
Class RandomForests

java.lang.Object
  edu.cmu.minorthird.classify.BatchClassifierLearner
      edu.cmu.minorthird.classify.BatchBinaryClassifierLearner
          edu.cmu.minorthird.classify.algorithms.trees.RandomForests

All Implemented Interfaces:

BinaryClassifierLearner, ClassifierLearner, java.lang.Cloneable

public class RandomForests
extends BatchBinaryClassifierLearner

Random Forests implementation. See http://www.stat.berkeley.edu/~breiman/RandomForests/ For algorith details.

Author:

Alexander Friedman

Nested Class Summary

static class

RandomForests.VotingClassifier A set of RandomTree Classifiers FIXME!! All of this stuff is copied directly for AdaBoost with (very) minor modifications

Field Summary

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

classifier, dataset

Constructor Summary

RandomForests()

RandomForests(int numComponents)

RandomForests(RandomTreeLearner baseLearner, int numComponents)

Method Summary

Classifier	batchTrain(Dataset dataset) subclasses should use this method to implement a batch supervised learning algorithm.
static java.util.Vector<Feature>	getDatasetFeatures(Dataset dataset) Return a vector of all features in the dataset.

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

RandomForests

public RandomForests()

RandomForests

public RandomForests(int numComponents)

RandomForests

public RandomForests(RandomTreeLearner baseLearner,
                     int numComponents)

Method Detail

batchTrain

public Classifier batchTrain(Dataset dataset)

Description copied from class: BatchClassifierLearner

subclasses should use this method to implement a batch supervised learning algorithm.

Specified by:

batchTrain in class BatchClassifierLearner

getDatasetFeatures

public static java.util.Vector<Feature> getDatasetFeatures(Dataset dataset)

Return a vector of all features in the dataset. This should really be in the 'Dataset' interface

Parameters:

dataset -

Returns:

a vector of all features in the dataset