edu.stanford.nlp.tagger.maxent
Class LambdaSolveTagger

java.lang.Object
  edu.stanford.nlp.maxent.iis.LambdaSolve
      edu.stanford.nlp.tagger.maxent.LambdaSolveTagger

public class LambdaSolveTagger
extends LambdaSolve

This module does the working out of lambda parameters for binary tagger features. It can use either IIS or CG.

Author:

Kristina Toutanova

Field Summary

Fields inherited from class edu.stanford.nlp.maxent.iis.LambdaSolve

convertValues, eps, fixedFnumXY, fnumArr, ftildeArr, lambda, lambda_converged, newtonerr, p, probConds, weightRanks, zlambda

Method Summary

boolean

checkCorrectness() Works out whether the model expectations match the empirical expectations.

Methods inherited from class edu.stanford.nlp.maxent.iis.LambdaSolve

divide, expectedValue, fnum, GainCompute, getDerivatives, getDerivativesExpectedValue, getDerivativesLossDomination, getDerivativesNeg, improvedIterative, improvedIterative, logLikelihood, logLikelihoodNeg, logLikelihoodScratch, lossDomination, main, pcond, print, read_lambdas, readL, save_lambdas, save_lambdas, setBinary, setNonBinary, transformValues

Methods inherited from class java.lang.Object

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

Method Detail

checkCorrectness

public boolean checkCorrectness()

Works out whether the model expectations match the empirical expectations.

Overrides:

checkCorrectness in class LambdaSolve

Returns:

Whether the model is correct