From 2be731ef25d8e96715ebca31bbfc16901e01ed1d Mon Sep 17 00:00:00 2001 From: Alexander Grigorievskiy Date: Tue, 15 Mar 2016 18:42:28 +0200 Subject: [PATCH] TEST: Rename parameters is test function. --- GPy/testing/gpy_kernels_state_space_tests.py | 32 ++++++++++---------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/GPy/testing/gpy_kernels_state_space_tests.py b/GPy/testing/gpy_kernels_state_space_tests.py index 4e176a81..7597567b 100644 --- a/GPy/testing/gpy_kernels_state_space_tests.py +++ b/GPy/testing/gpy_kernels_state_space_tests.py @@ -110,12 +110,12 @@ class StateSpaceKernelsTests(np.testing.TestCase): X.shape = (X.shape[0],1); Y.shape = (Y.shape[0],1) ss_kernel = GPy.kern.sde_StdPeriodic(1,active_dims=[0,]) - ss_kernel.lengthscales.constrain_bounded(0.25, 1000) - ss_kernel.wavelengths.constrain_bounded(0.15, 100) + ss_kernel.lengthscale.constrain_bounded(0.25, 1000) + ss_kernel.period.constrain_bounded(0.15, 100) gp_kernel = GPy.kern.StdPeriodic(1,active_dims=[0,]) - gp_kernel.lengthscales.constrain_bounded(0.25, 1000) - gp_kernel.wavelengths.constrain_bounded(0.15, 100) + gp_kernel.lengthscale.constrain_bounded(0.25, 1000) + gp_kernel.period.constrain_bounded(0.15, 100) self.run_for_model(X, Y, ss_kernel, check_gradients=True, predict_X=X, @@ -129,12 +129,12 @@ class StateSpaceKernelsTests(np.testing.TestCase): X.shape = (X.shape[0],1); Y.shape = (Y.shape[0],1) ss_kernel = GPy.kern.sde_Matern32(1)*GPy.kern.sde_StdPeriodic(1,active_dims=[0,]) - ss_kernel.std_periodic.lengthscales.constrain_bounded(0.25, 1000) - ss_kernel.std_periodic.wavelengths.constrain_bounded(0.15, 100) + ss_kernel.std_periodic.lengthscale.constrain_bounded(0.25, 1000) + ss_kernel.std_periodic.period.constrain_bounded(0.15, 100) gp_kernel = GPy.kern.Matern32(1)*GPy.kern.StdPeriodic(1,active_dims=[0,]) - gp_kernel.std_periodic.lengthscales.constrain_bounded(0.25, 1000) - gp_kernel.std_periodic.wavelengths.constrain_bounded(0.15, 100) + gp_kernel.std_periodic.lengthscale.constrain_bounded(0.25, 1000) + gp_kernel.std_periodic.period.constrain_bounded(0.15, 100) self.run_for_model(X, Y, ss_kernel, check_gradients=True, predict_X=X, @@ -203,12 +203,12 @@ class StateSpaceKernelsTests(np.testing.TestCase): def get_new_kernels(): ss_kernel = GPy.kern.sde_Linear(1,X) + GPy.kern.sde_StdPeriodic(1,active_dims=[0,]) - ss_kernel.std_periodic.lengthscales.constrain_bounded(0.25, 1000) - ss_kernel.std_periodic.wavelengths.constrain_bounded(3, 8) + ss_kernel.std_periodic.lengthscale.constrain_bounded(0.25, 1000) + ss_kernel.std_periodic.period.constrain_bounded(3, 8) gp_kernel = GPy.kern.Linear(1) + GPy.kern.StdPeriodic(1,active_dims=[0,]) - gp_kernel.std_periodic.lengthscales.constrain_bounded(0.25, 1000) - gp_kernel.std_periodic.wavelengths.constrain_bounded(3, 8) + gp_kernel.std_periodic.lengthscale.constrain_bounded(0.25, 1000) + gp_kernel.std_periodic.period.constrain_bounded(3, 8) return ss_kernel, gp_kernel @@ -300,15 +300,15 @@ class StateSpaceKernelsTests(np.testing.TestCase): def get_new_kernels(): periodic_kernel = GPy.kern.StdPeriodic(1,active_dims=[0,]) gp_kernel = GPy.kern.Linear(1, active_dims=[0,]) + GPy.kern.Bias(1, active_dims=[0,]) + periodic_kernel - gp_kernel.std_periodic.lengthscales.constrain_bounded(0.25, 1000) - gp_kernel.std_periodic.wavelengths.constrain_bounded(0.15, 100) + gp_kernel.std_periodic.lengthscale.constrain_bounded(0.25, 1000) + gp_kernel.std_periodic.period.constrain_bounded(0.15, 100) periodic_kernel = GPy.kern.sde_StdPeriodic(1,active_dims=[0,]) ss_kernel = GPy.kern.sde_Linear(1,X,active_dims=[0,]) + \ GPy.kern.sde_Bias(1, active_dims=[0,]) + periodic_kernel - ss_kernel.std_periodic.lengthscales.constrain_bounded(0.25, 1000) - ss_kernel.std_periodic.wavelengths.constrain_bounded(0.15, 100) + ss_kernel.std_periodic.lengthscale.constrain_bounded(0.25, 1000) + ss_kernel.std_periodic.period.constrain_bounded(0.15, 100) return ss_kernel, gp_kernel