edu.umass.cs.mallet.base.types

Class Multinomial.Logged

java.lang.Object

edu.umass.cs.mallet.base.types.SparseVector

edu.umass.cs.mallet.base.types.FeatureVector

edu.umass.cs.mallet.base.types.Multinomial

edu.umass.cs.mallet.base.types.Multinomial.Logged

All Implemented Interfaces:

ConstantMatrix, Vector, Serializable

Enclosing class:

Multinomial

public static class Multinomial.Logged
extends Multinomial

A Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi]. Logs are used for numerical stability.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class edu.umass.cs.mallet.base.types.Multinomial

Multinomial.Estimator, Multinomial.LaplaceEstimator, Multinomial.Logged, Multinomial.MAPEstimator, Multinomial.MEstimator, Multinomial.MLEstimator

Field Summary

Fields inherited from class edu.umass.cs.mallet.base.types.SparseVector

hasInfinite, indices, values

Constructor Summary

Constructors

Constructor and Description
Logged(double[] probabilities)
Logged(double[] probabilities, Alphabet dictionary)
Logged(double[] probabilities, Alphabet dictionary, boolean areLoggedAlready)
Logged(double[] probabilities, Alphabet dictionary, int size)
Logged(double[] probabilities, Alphabet dictionary, int size, boolean areLoggedAlready)
Logged(Multinomial m)

Method Summary

Modifier and Type	Method and Description
void	addLogProbabilities(double[] vector)
void	addProbabilities(double[] vector)
double	logProbability(int featureIndex)
double	probability(int featureIndex)

Methods inherited from class edu.umass.cs.mallet.base.types.Multinomial

addProbabilitiesTo, getAlphabet, logProbability, probability, randomFeatureSequence, randomFeatureVector, randomIndex, randomObject, size

Methods inherited from class edu.umass.cs.mallet.base.types.FeatureVector

cloneMatrix, cloneMatrixZeroed, contains, getObjectIndices, location, toSimpFile, toString, toString, value

Methods inherited from class edu.umass.cs.mallet.base.types.SparseVector

absNorm, addTo, addTo, arrayCopyFrom, arrayCopyFrom, arrayCopyInto, dotProduct, dotProduct, dotProduct, dotProduct, extendedDotProduct, extendedDotProduct, getDimensions, getIndices, getNumDimensions, getValues, incrementValue, indexAtLocation, infinityNorm, isBinary, isNaN, location, makeBinary, makeNonBinary, map, numLocations, oneNorm, plusEqualsSparse, plusEqualsSparse, print, removeDuplicates, setAll, setValue, setValueAtLocation, singleIndex, singleSize, singleToIndices, singleValue, sortIndices, timesEquals, timesEqualsSparse, timesEqualsSparse, twoNorm, value, value, valueAtLocation, vectorAdd

Methods inherited from class java.lang.Object

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

Constructor Detail

Logged

public Logged(double[] probabilities,
              Alphabet dictionary,
              int size,
              boolean areLoggedAlready)

Logged

public Logged(double[] probabilities,
              Alphabet dictionary,
              boolean areLoggedAlready)

Logged

public Logged(double[] probabilities,
              Alphabet dictionary,
              int size)

Logged

public Logged(double[] probabilities,
              Alphabet dictionary)

Logged

public Logged(Multinomial m)

Logged

public Logged(double[] probabilities)

Method Detail

probability

public double probability(int featureIndex)

Overrides:

probability in class Multinomial

logProbability

public double logProbability(int featureIndex)

Overrides:

logProbability in class Multinomial

addProbabilities

public void addProbabilities(double[] vector)

addLogProbabilities

public void addLogProbabilities(double[] vector)