2c3a53b1740bfbb85a55d827788b1995176bb0b3,GPy/testing/psi_stat_tests.py,Test,testPsi1,#Test#,73

Before Change

        assert m.checkgrad(), "linear x psi0"

    def testPsi1(self):
        kernel = GPy.kern.linear(Q)
        m = PsiStatModel("psi1", X=X, X_variance=X_var, Z=Z,
                     M=M, kernel=kernel, mu_or_S=0, dL=numpy.ones((1, 1)))
        assert(m.checkgrad())

    def testPsi2(self):
        kernel = GPy.kern.linear(Q)

After Change

            assert m.checkgrad(), "{} x psi0".format("+".join(map(lambda x: x.name, k.parts)))

    def testPsi1(self):
        for k in self.kernels:
            m = PsiStatModel("psi0", X=self.X, X_variance=self.X_var, Z=self.Z,
                         M=self.M, kernel=k)
            assert m.checkgrad(), "{} x psi1".format("+".join(map(lambda x: x.name, k.parts)))

    def testPsi2(self):
        for k in self.kernels:
            m = PsiStatModel("psi0", X=self.X, X_variance=self.X_var, Z=self.Z,
                         M=self.M, kernel=k)

Instances