Package cc.mallet.fst

Examples of cc.mallet.fst.CRFOptimizableByGradientValues

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    CRFOptimizableByGE ge = new CRFOptimizableByGE(crf,constraints,unlabeledSet,map,numThreads,geWeight);
    // turn off the prior... it already appears above!
    ge.setGaussianPriorVariance(Double.POSITIVE_INFINITY);

    CRFOptimizableByGradientValues opt =
      new CRFOptimizableByGradientValues(crf,new Optimizable.ByGradientValue[] { optLikelihood, ge });
   
    LimitedMemoryBFGS optimizer = new LimitedMemoryBFGS(opt);

    try {
      converged = optimizer.optimize(numIterations);
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    CRFOptimizableByLabelLikelihood likelihood = new CRFOptimizableByLabelLikelihood(crf, labeled);
    likelihood.setGaussianPriorVariance(gaussianPriorVariance);
    CRFOptimizableByEntropyRegularization regularization = new CRFOptimizableByEntropyRegularization(crf, unlabeled);
    regularization.setScalingFactor(this.entRegScalingFactor);
   
    CRFOptimizableByGradientValues regLikelihood = new CRFOptimizableByGradientValues(crf,
        new Optimizable.ByGradientValue[] { likelihood, regularization} );
    this.bfgs = new LimitedMemoryBFGS(regLikelihood);
    converged = false;
    logger.info ("CRF about to train with "+numIterations+" iterations");
    // sometimes resetting the optimizer helps to find
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    CRFOptimizableByLabelLikelihood likelihood = new CRFOptimizableByLabelLikelihood(crf, labeled);
    likelihood.setGaussianPriorVariance(gaussianPriorVariance);
    CRFOptimizableByEntropyRegularization regularization = new CRFOptimizableByEntropyRegularization(crf, unlabeled);
    regularization.setScalingFactor(this.entRegScalingFactor);
   
    CRFOptimizableByGradientValues regLikelihood = new CRFOptimizableByGradientValues(crf,
        new Optimizable.ByGradientValue[] { likelihood, regularization} );
    this.bfgs = new LimitedMemoryBFGS(regLikelihood);
    converged = false;
    logger.info ("CRF about to train with "+numIterations+" iterations");
    // sometimes resetting the optimizer helps to find
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Related Classes of cc.mallet.fst.CRFOptimizableByGradientValues

  • cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
  • cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
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