Examples of edu.stanford.nlp.maxent.CGRunner$MonitorFunction

    Problem p = new Problem(samples, feats);
    LambdaSolveTagger prob = new LambdaSolveTagger(p, 0.0001, fnumArr);
    maxentTagger.prob = prob;


    if (config.getSearch().equals("owlqn")) {
      CGRunner runner = new CGRunner(prob, config.getModel(), config.getSigmaSquared());
      runner.solveL1(config.getRegL1());
    } else if (config.getSearch().equals("owlqn2")) {
      CGRunner runner = new CGRunner(prob, config.getModel(), config.getSigmaSquared());
      runner.solveOWLQN2(config.getRegL1());
    } else if (config.getSearch().equals("cg")) {
      CGRunner runner = new CGRunner(prob, config.getModel(), config.getSigmaSquared());
      runner.solveCG();
    } else if (config.getSearch().equals("qn")) {
      CGRunner runner = new CGRunner(prob, config.getModel(), config.getSigmaSquared());
      runner.solveQN();
    } else {
      prob.improvedIterative(config.getIterations());
    }


    if (prob.checkCorrectness()) {

    Problem p = new Problem(samples, feats);
    LambdaSolveTagger prob = new LambdaSolveTagger(p, 0.0001, 0.00001);
    GlobalHolder.prob = prob;


    if (config.getSearch().equals("owlqn")) {
      CGRunner runner = new CGRunner(prob, config.getModel(), config.getSigmaSquared());
      runner.solveL1(config.getRegL1());
    } else if (config.getSearch().equals("cg")) {
      CGRunner runner = new CGRunner(prob, config.getModel(), config.getSigmaSquared());
      runner.solveCG();
    } else if (config.getSearch().equals("qn")) {
      CGRunner runner = new CGRunner(prob, config.getModel(), config.getSigmaSquared());
      runner.solveQN();
    } else {
      prob.improvedIterative(config.getIterations());
    }


    if (prob.checkCorrectness()) {

Examples of edu.stanford.nlp.maxent.CGRunner$MonitorFunction

Related Classes of edu.stanford.nlp.maxent.CGRunner$MonitorFunction