0ede18f7755da45e8aafc0844e455a53645d06e8,testing/test_likelihoods.py,TestQuadrature,test_var_exp,#TestQuadrature#,53

Before Change

                F2 = GPflow.likelihoods.Likelihood.variational_expectations(l, self.Fmu, self.Fvar, self.Y)
            //compile and run the functions:
            if len(x_data):    
                F1 = theano.function([x], F1)(x_data)
                F2 = theano.function([x], F2)(x_data)
            else:
                F1 = theano.function([], F1)()
                F2 = theano.function([], F2)()

After Change

                F1 = l.variational_expectations(self.Fmu, self.Fvar, self.Y)
                F2 = GPflow.likelihoods.Likelihood.variational_expectations(l, self.Fmu, self.Fvar, self.Y)
            //compile and run the functions:
            F1 = tf.Session().run(F1, feed_dict={x: x_data})
            F2 = tf.Session().run(F2, feed_dict={x: x_data})
            self.failUnless(np.allclose(F1, F2, 1e-6, 1e-6))

    def test_pred_density(self):

Instances