Examples of cc.mallet.fst.semi_supervised.CRFTrainerByGE

cc.mallet.fst.semi_supervised.CRFTrainerByGE
Trains a CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF. See: "Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields" Gideon Mann and Andrew McCallum ACL 2008 @author Gregory Druck

    if (testing != null)
      logger.info("Testing on " + testing.size() + " instances");
    
    assert(numThreads.value > 0);
    
    CRFTrainerByGE trainer = new CRFTrainerByGE(crf,constraints,numThreads.value);
    if (eval != null) trainer.addEvaluator(eval);
    trainer.setGaussianPriorVariance(var);
    trainer.setNumResets(resets);
    trainer.train(training,iterations);


    return crf;
  }

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cc.mallet.fst.semi_supervised.tui.SimpleTaggerWithConstraints

cc.mallet.optimize.LimitedMemoryBFGS

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