Examples of weka.core.Instances.sumOfWeights()

weka.core.Instances.sumOfWeights()
Computes the sum of all the instances' weights. @return the sum of all the instances' weights as a double

                        
                    }
                }
                
                //Scale the weights
                weightSum = instancesCopy.sumOfWeights();
                for (int i = 0; i < instancesCopy.numInstances(); i++) {
                    Instance current = instancesCopy.instance(i);
                    current.setWeight(current.weight() * (double)instancesCopy.numInstances() / weightSum);
                }
            }

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  current.setValue(boostData.classIndex(), z);
  current.setWeight(current.weight() * w);
      }
      
      // Scale the weights (helps with some base learners)
      double sumOfWeights = boostData.sumOfWeights();
      double scalingFactor = (double)origSumOfWeights / sumOfWeights;
      for (int i = 0; i < probs.length; i++) {
  Instance current = boostData.instance(i);
  current.setWeight(current.weight() * scalingFactor);
      }

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    public void grow(Instances data) throws Exception {
      if(m_Consequent == -1)
        throw new Exception(" Consequent not set yet.");


      Instances growData = data;           
      double sumOfWeights = growData.sumOfWeights();
      if(!Utils.gr(sumOfWeights, 0.0))
        return;


      /* Compute the default accurate rate of the growing data */
      double defAccu = computeDefAccu(growData);

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     *                 the whole pruning data instead of the data covered
     */    
    public void prune(Instances pruneData, boolean useWhole){
  Instances data = pruneData;
  
      double total = data.sumOfWeights();
      if(!Utils.gr(total, 0.0))
  return;
  
      /* The default accurate # and rate on pruning data */
      double defAccu=computeDefAccu(data);

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    RipperRule finalRule;
        
    if(m_Debug)
      System.err.println("\nRule #"+position +
             "| isResidual?" + isResidual+
             "| data size: "+newData.sumOfWeights());
        
    if(isResidual){
      RipperRule newRule = new RipperRule();   
      newRule.setConsequent(classIndex);
      if(m_Debug)

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                    }
                }
                
                //Scale the weights
                weightSum = instancesCopy.sumOfWeights();
                for (int i = 0; i < instancesCopy.numInstances(); i++) {
                    Instance current = instancesCopy.instance(i);
                    current.setWeight(current.weight() * (double)instancesCopy.numInstances() / weightSum);
                }
            }

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