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REFACTORING: model names, lowercase, classes uppercase

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This commit is contained in:
Max Zwiessele 2013-06-05 13:02:03 +01:00
parent 2a39440619
commit 2e5e8ac026
50 changed files with 436 additions and 3307 deletions
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6
GPy/testing/prior_tests.py
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@ -13,7 +13,7 @@ class PriorTests(unittest.TestCase):
y = b*X + C + 1*np.sin(X)
y += 0.05*np.random.randn(len(X))
X, y = X[:, None], y[:, None]
m = GPy.models.GP_regression(X, y)
m = GPy.models.GPRegression(X, y)
m.ensure_default_constraints()
lognormal = GPy.priors.LogGaussian(1, 2)
m.set_prior('rbf', lognormal)
@ -27,7 +27,7 @@ class PriorTests(unittest.TestCase):
y = b*X + C + 1*np.sin(X)
y += 0.05*np.random.randn(len(X))
X, y = X[:, None], y[:, None]
m = GPy.models.GP_regression(X, y)
m = GPy.models.GPRegression(X, y)
m.ensure_default_constraints()
Gamma = GPy.priors.Gamma(1, 1)
m.set_prior('rbf', Gamma)
@ -41,7 +41,7 @@ class PriorTests(unittest.TestCase):
y = b*X + C + 1*np.sin(X)
y += 0.05*np.random.randn(len(X))
X, y = X[:, None], y[:, None]
m = GPy.models.GP_regression(X, y)
m = GPy.models.GPRegression(X, y)
m.ensure_default_constraints()
gaussian = GPy.priors.Gaussian(1, 1)
success = False