40ba361ebc36b0a6ed5c026d9d6b71d42b71a60b,test/synthetic/test_synthetic_data.py,TestGenerateSingleFeatureLFs,test_perfect_LF,#TestGenerateSingleFeatureLFs#,41

Before Change

        L = lf_applier.apply(data)

        // Get accuracies
        Ld = L.todense()
        Y = np.array([d.y for d in data])
        accs = Ld.T @ Y / self.n
        self.assertEqual(accs[0], 1.0)

    def test_abstain_rate(self) -> None:
        // Generate a dataset

After Change

        // Get accuracies
        // TODO: Replace this with a generic utility function
        Y = np.array([d.y for d in data])
        acc = np.where(L[:, 0].toarray().reshape(-1) == Y, 1, 0).sum() / self.n
        self.assertEqual(acc, 1.0)

    def test_abstain_rate(self) -> None:

Instances