edu.umass.cs.mallet.base.fst.confidence

Class RandomConfidenceEstimator

java.lang.Object

edu.umass.cs.mallet.base.fst.confidence.TransducerConfidenceEstimator

edu.umass.cs.mallet.base.fst.confidence.RandomConfidenceEstimator

All Implemented Interfaces:

Serializable

public class RandomConfidenceEstimator
extends TransducerConfidenceEstimator

Randomly assigns values between 0-1 to the confidence of a Segment. Used as baseline to compare with other methods.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RandomConfidenceEstimator(int seed, Transducer model)
RandomConfidenceEstimator(Transducer model)

Method Summary

Modifier and Type	Method and Description
double	estimateConfidenceFor(Segment segment, Transducer.Lattice cachedLattice) Randomly generate the confidence in the tagging of a Segment.

Methods inherited from class edu.umass.cs.mallet.base.fst.confidence.TransducerConfidenceEstimator

estimateConfidenceFor, getSegmentConfidences, getTransducer, rankSegmentsByConfidence, rankSegmentsByConfidence

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomConfidenceEstimator

public RandomConfidenceEstimator(int seed,
                                 Transducer model)

RandomConfidenceEstimator

public RandomConfidenceEstimator(Transducer model)

Method Detail

estimateConfidenceFor

public double estimateConfidenceFor(Segment segment,
                                    Transducer.Lattice cachedLattice)

Randomly generate the confidence in the tagging of a Segment.

Specified by:

estimateConfidenceFor in class TransducerConfidenceEstimator