Method update

JSAT/src/jsat/classifiers/linear/kernelized/CSKLR.java:421–457

(DataPoint dataPoint, int targetClass)

    }

    @Override
    public void update(DataPoint dataPoint, int targetClass)
    {
        double y_t = targetClass*2-1;
        Vec x_t = dataPoint.getNumericalValues();
        double pre = getPreScore(x_t);
        double score = getScore(y_t, pre);
        
        switch(mode)
        {
            case NC:
                break;
            default:
                double pt = mode.pt(y_t, score, pre, eta, gamma);
                if(rand.nextDouble() > pt)
                    return;
             break;   
        }
        
        
        double alpha_i = -eta*y_t*mode.grad(y_t, score, pre, gamma)*dataPoint.getWeight();

        alpha.add(alpha_i);
        vecs.add(x_t);
        k.addToCache(x_t, accelCache);
        curNorm += Math.abs(alpha_i) * k.eval(vecs.size(), vecs.size(), vecs, accelCache);

        //projection step
        if (curNorm > R)
        {
            double coef = R/curNorm;
            for(int i = 0; i < alpha.size(); i++)
                alpha.set(i, alpha.get(i)*coef);
            curNorm = coef;
        }
        
    }

    @Override
    public CategoricalResults classify(DataPoint data)