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java.lang.Objectedu.umass.cs.mallet.base.classify.Classifier
edu.umass.cs.mallet.base.classify.Winnow
Classification methods of Winnow2 algorithm.
WinnowTrainer
Field Summary |
Fields inherited from class edu.umass.cs.mallet.base.classify.Classifier |
instancePipe |
Constructor Summary | |
Winnow(Pipe dataPipe,
double[][] newWeights,
double theta,
int idim,
int jdim)
Passes along data pipe and weights from WinnowTrainer |
Method Summary | |
Classification |
classify(Instance instance)
Classifies an instance using Winnow's weights |
Methods inherited from class edu.umass.cs.mallet.base.classify.Classifier |
classify, classify, classify, getAccuracy, getAccuracy, getAlphabet, getF1, getF1, getF1, getF1, getInstancePipe, getLabelAlphabet, getPrecision, getPrecision, getPrecision, getPrecision, getRecall, getRecall, getRecall, getRecall, print, print |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
public Winnow(Pipe dataPipe, double[][] newWeights, double theta, int idim, int jdim)
WinnowTrainer
dataPipe
- needed for dictionary, labels, feature vectors, etcnewWeights
- weights calculated during training phasetheta
- value used for thresholdidim
- i dimension of weights arrayjdim
- j dimension of weights arrayMethod Detail |
public Classification classify(Instance instance)
classify
in class Classifier
instance
- an instance to be classified
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