Package cc.mallet.optimize

Examples of cc.mallet.optimize.Optimizer.optimize()

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    for (iter = 0; iter < numIter; iter++) {
      long etime = new java.util.Date ().getTime ();
      logger.info ("ACRF trainer iteration " + iter + " at time " + (etime - stime));

      try {
        converged = maximizer.optimize (1);
        converged |= callEvaluator (acrf, trainingList, validationList, testSet, iter, eval);

        if (converged) break;
        resetOnError = true;
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//    boolean continueTraining = true;
    boolean converged = false;
    logger.info ("CRF about to train with "+numIterations+" iterations");
    for (i = 0; i < numIterations; i++) {
      try {
        converged = maximizer.optimize (1);
        logger.info ("CRF finished one iteration of maximizer, i="+i);
        runEvaluators();
      } catch (IllegalArgumentException e) {
        e.printStackTrace();
        logger.info ("Catching exception; saying converged.");
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  //  maximizer.optimize (); // XXX given the loop below, this seems wrong.
     boolean converged;

     for (int i = 0; i < numIterations; i++) {
      try {
        converged = maximizer.optimize (1);
      } catch (IllegalArgumentException e) {
        e.printStackTrace();
        logger.info ("Catching exception; saying converged.");
        converged = true;
      }
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    logger.fine ("trainingSet.size() = "+trainingSet.size());
    mt = new MaximizableTrainer (trainingSet, (MCMaxEnt)initialClassifier);
    Optimizer maximizer = new LimitedMemoryBFGS(mt);
    // CPAL - change the tolerance for large vocab experiments
    ((LimitedMemoryBFGS)maximizer).setTolerance(.00001);    // std is .0001;
    maximizer.optimize (); // XXX given the loop below, this seems wrong.

    logger.info("MCMaxEnt ngetValueCalls:"+getValueCalls()+"\nMCMaxEnt ngetValueGradientCalls:"+getValueGradientCalls());
//    boolean converged;
//
//     for (int i = 0; i < numIterations; i++) {
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    for (iter = 0; iter < numIter; iter++) {
      long etime = new java.util.Date ().getTime ();
      logger.info ("ACRF trainer iteration " + iter + " at time " + (etime - stime));

      try {
        converged = maximizer.optimize (1);
        converged |= callEvaluator (acrf, trainingList, validationList, testSet, iter, eval);

        if (converged) break;
        resetOnError = true;
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