439bb9ca77a3381a6355667be68e291bb20218f7,testing/test_gplvm.py,TestBayesianGPLVM,test_1d,#TestBayesianGPLVM#,52

Before Change

                M=self.M,
                Z=Z)
            linit = m.compute_log_likelihood()
            m.optimize(maxiter=2)
            self.assertTrue(m.compute_log_likelihood() > linit)

    def test_2d(self):
        with self.test_context():

After Change

                kern=k,
                M=self.M,
                Z=Z)
            m.compile()
            linit = m.compute_log_likelihood()
            opt = gpflow.train.ScipyOptimizer(options={"maxiter": 2})
            opt.minimize(m)
            self.assertTrue(m.compute_log_likelihood() > linit)

    def test_2d(self):
        with self.test_context():

Instances