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finished mrd and added plotting functions

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Max Zwiessele 2013-04-11 18:44:18 +01:00
parent de6b00ebfd
commit 51ff92e591
7 changed files with 130 additions and 75 deletions
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40
GPy/testing/mrd_tests.py
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@ -10,23 +10,23 @@ import unittest
import numpy as np
import GPy
# class MRDTests(unittest.TestCase):
#
# # @unittest.skip('')
# def test_gradients(self):
# num_m = 2
# N, M, Q, D = 10, 3, 2, 4
# X = np.random.rand(N, Q)
# k = GPy.kern.linear(Q) + GPy.kern.bias(Q) + GPy.kern.white(Q, 0.00001)
# K = k.K(X)
# Ylist = [np.random.multivariate_normal(np.zeros(N), K, D).T for _ in range(num_m)]
#
# m = GPy.models.MRD(*Ylist, Q=Q, kernel=k, M=M)
# m._debug = True
# m.ensure_default_constraints()
# m.randomize()
# self.assertTrue(m.checkgrad())
#
# if __name__ == "__main__":
# print "Running unit tests, please be (very) patient..."
# # unittest.main()
class MRDTests(unittest.TestCase):
def test_gradients(self):
num_m = 3
N, M, Q, D = 20, 8, 5, 50
X = np.random.rand(N, Q)
k = GPy.kern.linear(Q) + GPy.kern.bias(Q) + GPy.kern.white(Q)
K = k.K(X)
Ylist = [np.random.multivariate_normal(np.zeros(N), K, D).T for _ in range(num_m)]
m = GPy.models.MRD(*Ylist, Q=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()