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[climin] added tests and install directions for travis

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mzwiessele 2016-03-08 10:23:05 +00:00
parent eaf20a952e
commit 88a9b92c80
2 changed files with 5 additions and 4 deletions
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8
GPy/testing/minibatch_tests.py
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@ -132,22 +132,22 @@ class SparseGPMinibatchTest(unittest.TestCase):
Q = Z.shape[1]
m = GPy.models.sparse_gp_minibatch.SparseGPMiniBatch(self.X, self.Y, Z, GPy.kern.RBF(Q)+GPy.kern.Matern32(Q)+GPy.kern.Bias(Q), GPy.likelihoods.Gaussian(), missing_data=True, stochastic=False)
assert(m.checkgrad())
m.optimize(max_iters=10)
m.optimize('adadelta', max_iters=10)
assert(m.checkgrad())
m = GPy.models.sparse_gp_minibatch.SparseGPMiniBatch(self.X, self.Y, Z, GPy.kern.RBF(Q)+GPy.kern.Matern32(Q)+GPy.kern.Bias(Q), GPy.likelihoods.Gaussian(), missing_data=True, stochastic=True)
assert(m.checkgrad())
m.optimize(max_iters=10)
m.optimize('rprop', max_iters=10)
assert(m.checkgrad())
m = GPy.models.sparse_gp_minibatch.SparseGPMiniBatch(self.X, self.Y, Z, GPy.kern.RBF(Q)+GPy.kern.Matern32(Q)+GPy.kern.Bias(Q), GPy.likelihoods.Gaussian(), missing_data=False, stochastic=False)
assert(m.checkgrad())
m.optimize(max_iters=10)
m.optimize('rprop', max_iters=10)
assert(m.checkgrad())
m = GPy.models.sparse_gp_minibatch.SparseGPMiniBatch(self.X, self.Y, Z, GPy.kern.RBF(Q)+GPy.kern.Matern32(Q)+GPy.kern.Bias(Q), GPy.likelihoods.Gaussian(), missing_data=False, stochastic=True)
assert(m.checkgrad())
m.optimize(max_iters=10)
m.optimize('adadelta', max_iters=10)
assert(m.checkgrad())
def test_predict_missing_data(self):