8b7dd09d48237d4ecca57040e9aa44bd3d9a460a,tests/test_stats.py,StatsTests,testDatasetMeasureProb,#StatsTests#,55

Before Change

    def testDatasetMeasureProb(self):
        ds = normalFeatureDataset(perlabel=20, nlabels=2, nfeatures=4,
                                  nonbogus_features=[1,3], snr=4, nchunks=1)

        // to estimate null distribution
        m = OneWayAnova(null_dist=MCNullDist(permutations=10, tail="right"))

        score = m(ds)

        // plausability check
        self.failUnless(score[0] + score[2] < score[1] + score[3])

        // feature 1 and 3 should have a very unlikely value
        self.failUnless(m.null_prob[1] < 0.05)
        self.failUnless(m.null_prob[3] < 0.05)

After Change

                % null_prob_nonbogus)

        // the others should be a lot larger
        self.failUnless(N.mean(null_prob_bogus) > N.mean(null_prob_nonbogus))



def suite():

Instances