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
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 |
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
Stanford NLP Group