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[config] default stub install verbose

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mzwiessele 2015-10-10 15:13:13 +01:00
parent acbd7c331f
commit 9d8ea1ba7c
1 changed files with 3 additions and 2 deletions
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5
GPy/testing/likelihood_tests.py
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@ -559,7 +559,7 @@ class TestNoiseModels(object):
@with_setup(setUp, tearDown) @with_setup(setUp, tearDown)
def t_laplace_fit_rbf_white(self, model, X, Y, f, Y_metadata, step, param_vals, param_names, constraints): def t_laplace_fit_rbf_white(self, model, X, Y, f, Y_metadata, step, param_vals, param_names, constraints):
print("\n{}".format(inspect.stack()[0][3])) print("\n{}".format(inspect.stack()[0][3]))
np.random.seed(11111) np.random.seed(111)
#Normalize #Normalize
Y = Y/Y.max() Y = Y/Y.max()
@ -567,6 +567,7 @@ class TestNoiseModels(object):
laplace_likelihood = GPy.inference.latent_function_inference.Laplace() laplace_likelihood = GPy.inference.latent_function_inference.Laplace()
m = GPy.core.GP(X.copy(), Y.copy(), kernel, likelihood=model, Y_metadata=Y_metadata, inference_method=laplace_likelihood) m = GPy.core.GP(X.copy(), Y.copy(), kernel, likelihood=model, Y_metadata=Y_metadata, inference_method=laplace_likelihood)
m.randomize()
#Set constraints #Set constraints
for constrain_param, constraint in constraints: for constrain_param, constraint in constraints:
@ -578,7 +579,7 @@ class TestNoiseModels(object):
m[name] = param_vals[param_num] m[name] = param_vals[param_num]
try: try:
assert m.checkgrad(verbose=0) assert m.checkgrad(verbose=0, step=step)
except: except:
assert m.checkgrad(verbose=1) assert m.checkgrad(verbose=1)