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Merge branch 'devel' into kurtCutajar-devel

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mzwiessele 2016-09-06 11:15:12 +01:00
commit 84896ab97b
8 changed files with 10990 additions and 32 deletions
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35
GPy/testing/model_tests.py
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@ -328,6 +328,41 @@ class MiscTests(unittest.TestCase):
m.checkgrad()
print(m)
def test_mrd(self):
from GPy.inference.latent_function_inference import InferenceMethodList, VarDTC
from GPy.likelihoods import Gaussian
Y1 = np.random.normal(0, 1, (40, 13))
Y2 = np.random.normal(0, 1, (40, 6))
Y3 = np.random.normal(0, 1, (40, 8))
Q = 5
m = GPy.models.MRD(dict(data1=Y1, data2=Y2, data3=Y3), Q,
)
m.randomize()
self.assertTrue(m.checkgrad())
m = GPy.models.MRD(dict(data1=Y1, data2=Y2, data3=Y3), Q, initx='PCA_single',
initz='random',
kernel=[GPy.kern.RBF(Q, ARD=1) for _ in range(3)],
inference_method=InferenceMethodList([VarDTC() for _ in range(3)]),
likelihoods = [Gaussian(name='Gaussian_noise'.format(i)) for i in range(3)])
m.randomize()
self.assertTrue(m.checkgrad())
m = GPy.models.MRD(dict(data1=Y1, data2=Y2, data3=Y3), Q, initx='random',
initz='random',
kernel=GPy.kern.RBF(Q, ARD=1),
)
m.randomize()
self.assertTrue(m.checkgrad())
m = GPy.models.MRD(dict(data1=Y1, data2=Y2, data3=Y3), Q, X=np.random.normal(0,1,size=(40,Q)),
X_variance=False,
kernel=GPy.kern.RBF(Q, ARD=1),
likelihoods = [Gaussian(name='Gaussian_noise'.format(i)) for i in range(3)])
m.randomize()
self.assertTrue(m.checkgrad())
def test_model_set_params(self):
m = GPy.models.GPRegression(self.X, self.Y)
lengthscale = np.random.uniform()