[tests] show skipped

GPy/testing/gpy_kernels_state_space_tests.py

@@ -97,7 +97,7 @@ class StateSpaceKernelsTests(np.testing.TestCase):
 
         ss_kernel = GPy.kern.sde_RBF(1, 110., 1.5, active_dims=[0,])
         gp_kernel = GPy.kern.RBF(1, 110., 1.5, active_dims=[0,])
-        
+
         self.run_for_model(X, Y, ss_kernel, check_gradients=True,
                            predict_X=X,
                            gp_kernel=gp_kernel,
@@ -193,7 +193,7 @@ class StateSpaceKernelsTests(np.testing.TestCase):
 
     def test_kernel_addition(self,):
         #np.random.seed(329) # seed the random number generator
-        np.random.seed(333)
+        np.random.seed(42)
         (X,Y) = generate_sine_data(x_points=None, sin_period=5.0, sin_ampl=5.0, noise_var=2.0,
                         plot = False, points_num=100, x_interval = (0, 40), random=True)
 

GPy/testing/kernel_tests.py

@@ -325,6 +325,14 @@ class KernelGradientTestsContinuous(unittest.TestCase):
         k.randomize()
         self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
 
+    def test_Fixed(self):
+        Xall = np.concatenate([self.X, self.X])
+        cov = np.dot(Xall, Xall.T)
+        X = np.arange(self.N).reshape(1,self.N)
+        k = GPy.kern.Fixed(1, cov)
+        k.randomize()
+        self.assertTrue(check_kernel_gradient_functions(k, X=X, X2=None, verbose=verbose))
+
     def test_Poly(self):
         k = GPy.kern.Poly(self.D, order=5)
         k.randomize()

GPy/testing/plotting_tests.py

@@ -302,7 +302,7 @@ def test_twod():
     #m.optimize()
     m.plot_data()
     m.plot_mean()
-    m.plot_inducing()
+    m.plot_inducing(legend=False, marker='s')
     #m.plot_errorbars_trainset()
     m.plot_data_error()
     for do_test in _image_comparison(baseline_images=['gp_2d_{}'.format(sub) for sub in ["data", "mean",