Method run

JSAT/src/jsat/classifiers/boosting/Wagging.java:220–254

()

        }
        
        @Override
        public void run()
        {
            if (ds instanceof ClassificationDataSet)
            {
                ClassificationDataSet cds = (ClassificationDataSet) ds;
                for (int i = start; i < end; i++)
                {
                    for (int j = 0; j < ds.getSampleSize(); j++)
                    {
                        double newWeight = Math.max(1e-6, dist.invCdf(rand.nextDouble()));
                        ds.getDataPoint(j).setWeight(newWeight);
                    }
                    Classifier hypot = weakL.clone();
                    hypot.trainC(cds);
                    hypotsL[i] = hypot;
                }
            }
            else if(ds instanceof RegressionDataSet)
            {
                RegressionDataSet rds = (RegressionDataSet) ds;
                for (int i = start; i < end; i++)
                {
                    for (int j = 0; j < ds.getSampleSize(); j++)
                        ds.getDataPoint(i).setWeight(Math.max(1e-6, dist.invCdf(rand.nextDouble())));
                    Regressor hypot = weakR.clone();
                    hypot.train(rds);
                    hypotsR[i] = hypot;
                }
            }
            else
                throw new RuntimeException("BUG: please report");
            
            latch.countDown();
        }
    }
    
    private void performTraining(ExecutorService threadPool, DataSet dataSet)