cc.mallet.types
Class Multinomial.Logged

java.lang.Object
  cc.mallet.types.SparseVector
      cc.mallet.types.FeatureVector
          cc.mallet.types.Multinomial
              cc.mallet.types.Multinomial.Logged

All Implemented Interfaces:

AlphabetCarrying, ConstantMatrix, Vector, java.io.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 cc.mallet.types.Multinomial

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

Field Summary

Fields inherited from class cc.mallet.types.SparseVector

hasInfinite, indices, values

Constructor Summary

Multinomial.Logged(double[] probabilities)

Multinomial.Logged(double[] probabilities, Alphabet dictionary)

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

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

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

Multinomial.Logged(Multinomial m)

Method Summary

void	addLogProbabilities(double[] vector)
void	addProbabilities(double[] vector)
double	logProbability(int featureIndex)
double	probability(int featureIndex)

Methods inherited from class cc.mallet.types.Multinomial

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

Methods inherited from class cc.mallet.types.FeatureVector

alphabetsMatch, cloneMatrix, cloneMatrixZeroed, contains, getAlphabets, getObjectIndices, location, newFeatureVector, toSimpFile, toString, toString, value

Methods inherited from class cc.mallet.types.SparseVector

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

Methods inherited from class java.lang.Object

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

Constructor Detail

Multinomial.Logged

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

Multinomial.Logged

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

Multinomial.Logged

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

Multinomial.Logged

public Multinomial.Logged(double[] probabilities,
                          Alphabet dictionary)

Multinomial.Logged

public Multinomial.Logged(Multinomial m)

Multinomial.Logged

public Multinomial.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)