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added sparse_gplvm_tests -- they fail

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James Hensman 2013-03-11 11:11:42 +00:00
parent cd7539a429
commit 7d4e568d7b
1 changed files with 47 additions and 0 deletions
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GPy/testing/sparse_gplvm_tests.py Normal file
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# Copyright (c) 2012, Nicolo Fusi, James Hensman
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import unittest
import numpy as np
import GPy
class sparse_GPLVMTests(unittest.TestCase):
def test_bias_kern(self):
N, M, Q, D = 10, 3, 2, 4
X = np.random.rand(N, Q)
k = GPy.kern.rbf(Q) + GPy.kern.white(Q, 0.00001)
K = k.K(X)
Y = np.random.multivariate_normal(np.zeros(N),K,D).T
k = GPy.kern.bias(Q) + GPy.kern.white(Q, 0.00001)
m = GPy.models.sparse_GPLVM(Y, Q, kernel = k, M=M)
m.ensure_default_constraints()
m.randomize()
self.assertTrue(m.checkgrad())
def test_linear_kern(self):
N, M, Q, D = 10, 3, 2, 4
X = np.random.rand(N, Q)
k = GPy.kern.rbf(Q) + GPy.kern.white(Q, 0.00001)
K = k.K(X)
Y = np.random.multivariate_normal(np.zeros(N),K,D).T
k = GPy.kern.linear(Q) + GPy.kern.white(Q, 0.00001)
m = GPy.models.sparse_GPLVM(Y, Q, kernel = k, M=M)
m.ensure_default_constraints()
m.randomize()
self.assertTrue(m.checkgrad())
def test_rbf_kern(self):
N, M, Q, D = 10, 3, 2, 4
X = np.random.rand(N, Q)
k = GPy.kern.rbf(Q) + GPy.kern.white(Q, 0.00001)
K = k.K(X)
Y = np.random.multivariate_normal(np.zeros(N),K,D).T
k = GPy.kern.rbf(Q) + GPy.kern.white(Q, 0.00001)
m = GPy.models.sparse_GPLVM(Y, Q, kernel = k, M=M)
m.ensure_default_constraints()
m.randomize()
self.assertTrue(m.checkgrad())
if __name__ == "__main__":
print "Running unit tests, please be (very) patient..."
unittest.main()