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More tests in unit_tests

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Nicolas 2013-01-18 16:14:13 +00:00
parent 5881fcc2d7
commit ffd05027cb
2 changed files with 29 additions and 13 deletions
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41
GPy/testing/unit_tests.py
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@ -42,51 +42,66 @@ class GradientTests(unittest.TestCase):
# contrain all parameters to be positive
self.assertTrue(m.checkgrad())
def test_gp_regression_rbf_white_kern_1d(self):
def test_gp_regression_rbf_1d(self):
''' Testing the GP regression with rbf kernel with white kernel on 1d data '''
rbf = GPy.kern.rbf(1)
self.check_model_with_white(rbf, model_type='GP_regression', dimension=1)
def test_GP_regression_rbf_ARD_white_kern_2D(self):
''' Testing the GP regression with rbf and white kernel on 2d data '''
k = GPy.kern.rbf_ARD(2)
self.check_model_with_white(k, model_type='GP_regression', dimension=2)
def test_GP_regression_rbf_white_kern_2D(self):
def test_GP_regression_rbf_2D(self):
''' Testing the GP regression with rbf and white kernel on 2d data '''
rbf = GPy.kern.rbf(2)
self.check_model_with_white(rbf, model_type='GP_regression', dimension=2)
def test_GP_regression_matern52_kern_1D(self):
def test_GP_regression_rbf_ARD_2D(self):
''' Testing the GP regression with rbf and white kernel on 2d data '''
k = GPy.kern.rbf(2,ARD=True)
self.check_model_with_white(k, model_type='GP_regression', dimension=2)
def test_GP_regression_matern52_1D(self):
''' Testing the GP regression with matern52 kernel on 1d data '''
matern52 = GPy.kern.Matern52(1)
self.check_model_with_white(matern52, model_type='GP_regression', dimension=1)
def test_GP_regression_matern52_kern_2D(self):
def test_GP_regression_matern52_2D(self):
''' Testing the GP regression with matern52 kernel on 2d data '''
matern52 = GPy.kern.Matern52(2)
self.check_model_with_white(matern52, model_type='GP_regression', dimension=2)
def test_GP_regression_matern32_kern_1D(self):
def test_GP_regression_matern52_ARD_2D(self):
''' Testing the GP regression with matern52 kernel on 2d data '''
matern52 = GPy.kern.Matern52(2,ARD=True)
self.check_model_with_white(matern52, model_type='GP_regression', dimension=2)
def test_GP_regression_matern32_1D(self):
''' Testing the GP regression with matern32 kernel on 1d data '''
matern32 = GPy.kern.Matern32(1)
self.check_model_with_white(matern32, model_type='GP_regression', dimension=1)
def test_GP_regression_matern32_kern_2D(self):
def test_GP_regression_matern32_2D(self):
''' Testing the GP regression with matern32 kernel on 2d data '''
matern32 = GPy.kern.Matern32(2)
self.check_model_with_white(matern32, model_type='GP_regression', dimension=2)
def test_GP_regression_exponential_kern_1D(self):
def test_GP_regression_matern32_ARD_2D(self):
''' Testing the GP regression with matern32 kernel on 2d data '''
matern32 = GPy.kern.Matern32(2,ARD=True)
self.check_model_with_white(matern32, model_type='GP_regression', dimension=2)
def test_GP_regression_exponential_1D(self):
''' Testing the GP regression with exponential kernel on 1d data '''
exponential = GPy.kern.exponential(1)
self.check_model_with_white(exponential, model_type='GP_regression', dimension=1)
def test_GP_regression_exponential_kern_2D(self):
def test_GP_regression_exponential_2D(self):
''' Testing the GP regression with exponential kernel on 2d data '''
exponential = GPy.kern.exponential(2)
self.check_model_with_white(exponential, model_type='GP_regression', dimension=2)
def test_GP_regression_exponential_ARD_2D(self):
''' Testing the GP regression with exponential kernel on 2d data '''
exponential = GPy.kern.exponential(2,ARD=True)
self.check_model_with_white(exponential, model_type='GP_regression', dimension=2)
def test_GP_regression_bias_kern_1D(self):
''' Testing the GP regression with bias kernel on 1d data '''
bias = GPy.kern.bias(1)