Examples of tv.floe.metronome.classification.neuralnetworks.learning.adagrad.AdagradLearningRate.compute()

tv.floe.metronome.classification.neuralnetworks.learning.adagrad.AdagradLearningRate.compute()
eta == gamma / Math.sqrt( this.squaredGradientSum ) @return

        
        for (Connection connection : neuron.getInConnections()) {


          if (this.adagradLearningOn) {
            alr = (AdagradLearningRate)connection.getWeight().trainingMetaData.get("adagrad");
            lrTemp = alr.compute();
          } else {
            lrTemp = this.learningRate;
          }
          
          double input = connection.getInput();

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            for (Connection connection : neuron.getInConnections()) {


              if (this.adagradLearningOn) {
                AdagradLearningRate alr = (AdagradLearningRate)connection.getWeight().trainingMetaData.get("adagrad");
                //lrTemp = alr.compute();
                out += "" + alr.compute() +",";
              }


            }
            
            n++;

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      Connection c = neuron.getInConnections().get(0);
                
      AdagradLearningRate alr = (AdagradLearningRate)c.getWeight().trainingMetaData.get("adagrad");
                //lrTemp = alr.compute();
        
      out += "[Ada: " + alr.compute() +" ]";


      c = neuron.getInConnections().get(1);
        
      alr = (AdagradLearningRate)c.getWeight().trainingMetaData.get("adagrad");

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      c = neuron.getInConnections().get(1);
        
      alr = (AdagradLearningRate)c.getWeight().trainingMetaData.get("adagrad");


      out += "[Ada: " + alr.compute() +" ]";
      
    }
    
    return out;

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