Method search

JSAT/src/jsat/datatransform/featureselection/SFS.java:139–171

(int minFeatures, int maxFeatures, DataSet dataSet, int folds)

    }
    
    private void search(int minFeatures, int maxFeatures, DataSet dataSet, int folds)
    {
        Random rand = RandomUtil.getRandom();
        int nF = dataSet.getNumFeatures();
        int nCat = dataSet.getNumCategoricalVars();
        
        Set<Integer> available = new IntSet();
        ListUtils.addRange(available, 0, nF, 1);
        catSelected = new IntSet(dataSet.getNumCategoricalVars());
        numSelected = new IntSet(dataSet.getNumNumericalVars());
        
        Set<Integer> catToRemove = new IntSet(dataSet.getNumCategoricalVars());
        Set<Integer> numToRemove = new IntSet(dataSet.getNumNumericalVars());
        ListUtils.addRange(catToRemove, 0, nCat, 1);
        ListUtils.addRange(numToRemove, 0, nF-nCat, 1);
        
        double[] bestScore = new double[]{Double.POSITIVE_INFINITY};
        
        Object learner = regressor;
        if (dataSet instanceof ClassificationDataSet)
            learner = classifier;
            
        while (catSelected.size() + numSelected.size() < maxFeatures)
        {
            if (SFSSelectFeature(available, dataSet,
                    catToRemove, numToRemove, catSelected, numSelected,
                    learner, folds, rand, bestScore, minFeatures) < 0)
                break;

        }
        
        this.finalTransform = new RemoveAttributeTransform(dataSet, catToRemove, numToRemove);
    }

    /**
     *