improving coverage and removing py2 print

This commit is contained in:
beckdaniel 2016-04-11 16:22:19 +01:00
parent 45f692340a
commit 28ee0f7aca

View file

@ -419,14 +419,16 @@ class MiscTests(unittest.TestCase):
X = X[:, None]
Y = Y[:, None]
warp_k = GPy.kern.RBF(1)
warp_f = GPy.util.warping_functions.TanhFunction(n_terms=2)
warp_m = GPy.models.WarpedGP(X, Y, kernel=warp_k, warping_function=warp_f)
warp_m = GPy.models.WarpedGP(X, Y)#, kernel=warp_k)#, warping_function=warp_f)
warp_m['.*\.d'].constrain_fixed(1.0)
warp_m.optimize_restarts(parallel=False, robust=False, num_restarts=5,
max_iters=max_iters)
print warp_m
warp_m.predict(X)
warp_m.predict_quantiles(X)
warp_m.log_predictive_density(X, Y)
warp_m.predict_in_warped_space = False
warp_m.predict(X)
warp_m.predict_quantiles(X)
class GradientTests(np.testing.TestCase):