edu.stanford.nlp.ie.crf
Class CRFClassifier.TestSequenceModel

java.lang.Object
  edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel

All Implemented Interfaces:

SequenceModel

Enclosing class:

CRFClassifier<IN extends CoreMap>

public static class CRFClassifier.TestSequenceModel
extends java.lang.Object
implements SequenceModel

Constructor Summary

CRFClassifier.TestSequenceModel(CRFCliqueTree cliqueTree)

Method Summary

int[]	getPossibleValues(int pos) 0...leftWindow-1 etc are null, leftWindow...length+leftWindow-1 are words, length+leftWindow...length+leftWindow+rightWindow-1 are null;
int	leftWindow() How many positions to the left a position is dependent on.
int	length()
int	rightWindow() How many positions to the right a position is dependent on.
double	scoreOf(int[] sequence) Computes the score assigned by this model to the whole sequence.
double	scoreOf(int[] tags, int pos) Return the score of the proposed tags for position given.
double[]	scoresOf(int[] tags, int pos) Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.

Methods inherited from class java.lang.Object

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

Constructor Detail

CRFClassifier.TestSequenceModel

public CRFClassifier.TestSequenceModel(CRFCliqueTree cliqueTree)

Method Detail

length

public int length()

Specified by:

length in interface SequenceModel

Returns:

the length of the sequences modeled by this SequenceModel

leftWindow

public int leftWindow()

Description copied from interface: SequenceModel

How many positions to the left a position is dependent on.

Specified by:

leftWindow in interface SequenceModel

Returns:

the size of the left window used by this sequence model

rightWindow

public int rightWindow()

Description copied from interface: SequenceModel

How many positions to the right a position is dependent on.

Specified by:

rightWindow in interface SequenceModel

Returns:

the size of the right window used by this sequence model

getPossibleValues

public int[] getPossibleValues(int pos)

Description copied from interface: SequenceModel

0...leftWindow-1 etc are null, leftWindow...length+leftWindow-1 are words, length+leftWindow...length+leftWindow+rightWindow-1 are null;

Specified by:

getPossibleValues in interface SequenceModel

Parameters:

pos - the position

Returns:

the set of possible int values at this position, as an int array

scoreOf

public double scoreOf(int[] tags,
                      int pos)

Return the score of the proposed tags for position given.

Specified by:

scoreOf in interface SequenceModel

Parameters:

tags - is an array indicating the assignment of labels to score.

pos - is the position to return a score for.

Returns:

the log score of the token at the specified position in the sequence

scoresOf

public double[] scoresOf(int[] tags,
                         int pos)

Description copied from interface: SequenceModel

Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.

Specified by:

scoresOf in interface SequenceModel

Parameters:

tags - the sequence containing the rest of the values to condition on

pos - the position of the element to give a distribution for

Returns:

the scores of the possible tokens at the specified position in the sequence

scoreOf

public double scoreOf(int[] sequence)

Description copied from interface: SequenceModel

Computes the score assigned by this model to the whole sequence. Typically this will be an unnormalized probability in log space (since the probabilities are small).

Specified by:

scoreOf in interface SequenceModel

Parameters:

sequence - the sequence to compute a score for

Returns:

the score for the sequence