Package org.gd.spark.opendl.util

Examples of org.gd.spark.opendl.util.MyConjugateGradient

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    DoubleMatrix curr_w = ((HiddenLayerParam)curr_param).w;
      DoubleMatrix curr_hbias = ((HiddenLayerParam)curr_param).hbias;
      DoubleMatrix curr_vbias = ((HiddenLayerParam)curr_param).vbias;
     
    dAOptimizer daopt = new dAOptimizer(config, x_samples, n_visible, n_hidden, curr_w, curr_hbias, curr_vbias);
        MyConjugateGradient cg = new MyConjugateGradient(daopt, config.getCgInitStepSize());
        cg.setTolerance(config.getCgTolerance());
        try {
            cg.optimize(config.getCgMaxIterations());
        } catch (Throwable e) {
            logger.error("", e);
        }
  }
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  }
 
  @Override
  protected void gradientUpdateCG(SGDTrainConfig config, DoubleMatrix x_samples, DoubleMatrix y_samples, SGDParam curr_param) {
    AEOptimizer opt = new AEOptimizer(config, x_samples, (BPParam)curr_param);
        MyConjugateGradient cg = new MyConjugateGradient(opt, config.getCgInitStepSize());
        cg.setTolerance(config.getCgTolerance());
        try {
            cg.optimize(config.getCgMaxIterations());
        } catch (Throwable e) {
            logger.error("", e);
        }
  }
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  protected void gradientUpdateCG(SGDTrainConfig config, DoubleMatrix x_samples, DoubleMatrix y_samples, SGDParam curr_param) {
    DoubleMatrix curr_w = ((LRParam)curr_param).w;
    DoubleMatrix curr_b = ((LRParam)curr_param).b;
   
    LROptimizer lropt = new LROptimizer(config, x_samples, y_samples, curr_w, curr_b);
        MyConjugateGradient cg = new MyConjugateGradient(lropt, config.getCgInitStepSize());
        cg.setTolerance(config.getCgTolerance());
        try {
            cg.optimize(config.getCgMaxIterations());
        } catch (Throwable e) {
            logger.error("", e);
        }
  }
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  }

  @Override
  protected void gradientUpdateCG(SGDTrainConfig config, DoubleMatrix x_samples, DoubleMatrix y_samples, SGDParam curr_param) {
    BPOptimizer lropt = new BPOptimizer(config, x_samples, y_samples, (BPParam)curr_param);
        MyConjugateGradient cg = new MyConjugateGradient(lropt, config.getCgInitStepSize());
        cg.setTolerance(config.getCgTolerance());
        try {
            cg.optimize(config.getCgMaxIterations());
        } catch (Throwable e) {
            logger.error("", e);
        }
  }
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      DoubleMatrix curr_w = ((HiddenLayerParam)curr_param).w;
      DoubleMatrix curr_hbias = ((HiddenLayerParam)curr_param).hbias;
      DoubleMatrix curr_vbias = ((HiddenLayerParam)curr_param).vbias;
     
      RBMOptimizer rbmopt = new RBMOptimizer(config, x_samples, n_visible, n_hidden, curr_w, curr_hbias, curr_vbias);
        MyConjugateGradient cg = new MyConjugateGradient(rbmopt, config.getCgInitStepSize());
        cg.setTolerance(config.getCgTolerance());
        try {
            cg.optimize(config.getCgMaxIterations());
        } catch (Throwable e) {
            logger.error("", e);
        }
    }
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Related Classes of org.gd.spark.opendl.util.MyConjugateGradient

  • cc.mallet.optimize.BackTrackLineSearch
  • org.gd.spark.opendl.downpourSGD.Backpropagation.AutoEncoder
  • org.gd.spark.opendl.downpourSGD.Backpropagation.BP
  • org.gd.spark.opendl.downpourSGD.Softmax.LR
  • org.gd.spark.opendl.downpourSGD.TiedWeightLayer.AutoEncoder
  • org.gd.spark.opendl.downpourSGD.TiedWeightLayer.RBM
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