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java.lang.Object cc.mallet.classify.Classifier cc.mallet.classify.ClassifierEnsemble
public class ClassifierEnsemble
Classifer for an ensemble of classifers, combined with learned weights. The procedure is to obtain the score from each classifier (typically p(y|x)), perform the weighted sum of these scores, then exponentiate the summed score for each class, and re-normalize the resulting per-class scores. In other words, the scores of the ensemble classifiers are treated as input features in a Maximum Entropy classifier.
Field Summary |
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Fields inherited from class cc.mallet.classify.Classifier |
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instancePipe |
Constructor Summary | |
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ClassifierEnsemble(Classifier[] classifiers,
double[] weights)
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Method Summary | |
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Classification |
classify(Instance instance)
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Methods inherited from class cc.mallet.classify.Classifier |
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alphabetsMatch, classify, classify, classify, getAccuracy, getAlphabet, getAlphabets, getAverageRank, getF1, getF1, getF1, getFeatureSelection, getInstancePipe, getLabelAlphabet, getPerClassFeatureSelection, getPrecision, getPrecision, getPrecision, getRecall, getRecall, getRecall, print, print |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public ClassifierEnsemble(Classifier[] classifiers, double[] weights)
Method Detail |
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public Classification classify(Instance instance)
classify
in class Classifier
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