cc.mallet.fst.confidence
Class NBestViterbiConfidenceEstimator

java.lang.Object
  cc.mallet.fst.confidence.TransducerSequenceConfidenceEstimator
      cc.mallet.fst.confidence.NBestViterbiConfidenceEstimator

public class NBestViterbiConfidenceEstimator
extends TransducerSequenceConfidenceEstimator

Estimates the confidence of an entire sequence by the probability that one of the the Viterbi paths rank 2->N is correct. Note that this is a strange definition of confidence, and is mainly used for MultipleChoiceCRFActiveLearner, where we want to find Instances that are mislabeled, but are likely to have a correct labeling in the top N Viterbi paths.

Field Summary

Fields inherited from class cc.mallet.fst.confidence.TransducerSequenceConfidenceEstimator

model

Constructor Summary

NBestViterbiConfidenceEstimator(Transducer model, int N)

Method Summary

double

estimateConfidenceFor(Instance instance, java.lang.Object[] startTags, java.lang.Object[] inTags) Calculates the confidence in the tagging of a Instance.

Methods inherited from class cc.mallet.fst.confidence.TransducerSequenceConfidenceEstimator

rankInstancesByConfidence

Methods inherited from class java.lang.Object

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

Constructor Detail

NBestViterbiConfidenceEstimator

public NBestViterbiConfidenceEstimator(Transducer model,
                                       int N)

Method Detail

estimateConfidenceFor

public double estimateConfidenceFor(Instance instance,
                                    java.lang.Object[] startTags,
                                    java.lang.Object[] inTags)

Calculates the confidence in the tagging of a Instance.

Specified by:

estimateConfidenceFor in class TransducerSequenceConfidenceEstimator