Examples of cc.mallet.optimize.LimitedMemoryBFGS.reset()

Class cc.mallet.optimize.LimitedMemoryBFGS

Examples of cc.mallet.optimize.LimitedMemoryBFGS.reset()

cc.mallet.optimize.LimitedMemoryBFGS.reset()
Resets the previous gradients and values that are used to approximate the Hessian. NOTE - If the {@link Optimizable} objectis modified externally, this method should be called to avoid IllegalStateExceptions.

    }
    catch (Exception e) {
      e.printStackTrace();
    }
    
    optimizer.reset();
    try {
      converged = optimizer.optimize(numIterations);
    }
    catch (Exception e) {
      e.printStackTrace();

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    MaxEntOptimizableByLabelDistribution opt = new  MaxEntOptimizableByLabelDistribution(dataLabeled,p);
    opt.setGaussianPriorVariance(pGPV);


    LimitedMemoryBFGS bfgs = new LimitedMemoryBFGS(opt);
    try { bfgs.optimize(); } catch (Exception e) { e.printStackTrace(); }
    bfgs.reset();
    try { bfgs.optimize(); } catch (Exception e) { e.printStackTrace(); }
    
    double value = 0;
    for (MaxEntPRConstraint constraint : q.getConstraintFeatures()) {
      // plus sign because this returns negative values

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    PRAuxClassifierOptimizable optimizable = new PRAuxClassifierOptimizable(data,base,q);
    
    LimitedMemoryBFGS bfgs = new LimitedMemoryBFGS(optimizable);
    try { bfgs.optimize(); } catch (Exception e) { e.printStackTrace(); }
    bfgs.reset();
    try { bfgs.optimize(); } catch (Exception e) { e.printStackTrace(); }
    
    return base;
  }
}

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        if (converged) {
          logger.info ("CRF training has converged, i="+iter);
          break;
        }
      }
      bfgs.reset();
    }
    
    ge.shutdown();
    
    return converged;

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