calhoun.analysis.crf.features.supporting
Class MarkovPredictorLogprob

java.lang.Object
  calhoun.analysis.crf.features.supporting.MarkovPredictorLogprob

All Implemented Interfaces:

java.io.Serializable

public class MarkovPredictorLogprob
extends java.lang.Object
implements java.io.Serializable

See Also:

Serialized Form

Constructor Summary

MarkovPredictorLogprob(java.util.List<int[]> history)
History is a list that contains one entry for each state.

Method Summary

float	logprob(int state, InputSequence<? extends java.lang.Character> seq, int pos)
void	train(java.util.List<? extends TrainingSequence<? extends java.lang.Character>> data)

Methods inherited from class java.lang.Object

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

Constructor Detail

MarkovPredictorLogprob

public MarkovPredictorLogprob(java.util.List<int[]> history)

History is a list that contains one entry for each state. Each entry in the list is in turn a list of the preceding states that we want to examine.

Parameters:

history -

Method Detail

logprob

public float logprob(int state,
                     InputSequence<? extends java.lang.Character> seq,
                     int pos)

train

public void train(java.util.List<? extends TrainingSequence<? extends java.lang.Character>> data)