def setUp(self):
self.n_hypers = 10
self.num_points = np.random.randint(1, 100)
self.num_features = np.random.randint(1, 10)
self.X = np.random.rand(self.num_points, self.num_features)
self.y = np.random.rand(self.num_points)[:, np.newaxis]
self.kernel = GPy.kern.Matern52(input_dim=self.num_features)
self.model = GPyModelMCMC(self.kernel, burnin=10, chain_length=10, n_hypers=self.n_hypers)
class TestGPyModelMCMC(unittest.TestCase):
def setUp(self):
self.n_hypers = 10
self.num_points = np.random.randint(1, 100)
self.num_features = np.random.randint(1, 10)
self.X = np.random.rand(self.num_points, self.num_features)
self.y = np.random.rand(self.num_points)[:, np.newaxis]
self.kernel = GPy.kern.Matern52(input_dim=self.num_features)
self.model = GPyModelMCMC(self.kernel, burnin=10, chain_length=10, n_hypers=self.n_hypers)
def test_train(self):
self.model.train(self.X, self.y)
mean, var = self.model.predict(self.X[0, np.newaxis])
assert mean.shape[0] == self.n_hypers
assert var.shape[0] == self.n_hypers
