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java.lang.Object edu.cmu.minorthird.classify.BatchClassifierLearner edu.cmu.minorthird.classify.BatchBinaryClassifierLearner edu.cmu.minorthird.classify.algorithms.trees.AdaBoost edu.cmu.minorthird.classify.algorithms.trees.AdaBoost.L
public static class AdaBoost.L
AdaBoost.L is a logistic-regression version of AdaBoost.
Nested Class Summary |
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Nested classes/interfaces inherited from class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost |
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AdaBoost.L |
Field Summary |
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Fields inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner |
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classifier, dataset |
Constructor Summary | |
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AdaBoost.L()
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AdaBoost.L(BatchClassifierLearner baseLearner,
int maxRounds)
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Method Summary | |
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protected double |
discountFactor(double y,
double yhat)
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Methods inherited from class edu.cmu.minorthird.classify.algorithms.trees.AdaBoost |
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batchTrain, getBaseLearner, getMaxRounds, setBaseLearner, setMaxRounds |
Methods inherited from class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner |
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batchTrainBinary, getBinaryClassifier, getSchema, setSchema |
Methods inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner |
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addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface edu.cmu.minorthird.classify.ClassifierLearner |
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addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool |
Constructor Detail |
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public AdaBoost.L()
public AdaBoost.L(BatchClassifierLearner baseLearner, int maxRounds)
Method Detail |
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protected double discountFactor(double y, double yhat)
discountFactor
in class AdaBoost
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