Method testScale

JSAT/test/jsat/classifiers/linear/SDCATest.java:151–178

()

    }
    
    @Test
    public void testScale()
    {
        System.out.println("testScale");
        ClassificationDataSet train = FixedProblems.get2ClassLinear(1000, RandomUtil.getRandom());
        
        Vec base = null;
        for(double max : new double[]{1.0, 2.0, 4.0, 5.0, 6.0, 10.0, 20.0, 50.0})
        {
            SDCA sdca = new SDCA();
            
            sdca.setUseBias(false);//bias term makes scaling non-trivial, so remove from this test
            sdca.setLoss(new LogisticLoss());
            sdca.setLambda(1.0 / train.getSampleSize());
            sdca.setAlpha(0.0);
            
            ClassificationDataSet t = train.shallowClone();
            t.applyTransform(new LinearTransform(t, 0, max));
            
            sdca.trainC(t);
            if(base == null)
                base = sdca.getRawWeight(0).clone();
            else
                assertTrue("Failed on scale " + max, base.equals(sdca.getRawWeight(0).multiply(max), 0.1));
//            System.out.println(sdca.getRawWeight(0).multiply(max));
//            System.out.println(sdca.getBias(0));
        }
    }

    /**
     * Test of setLambda method, of class NewGLMNET.