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ensure_default_constraints is on by default

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This commit is contained in:
James Hensman 2013-06-17 15:57:19 +01:00
parent 4cc26902e4
commit 8fd8288fb8
22 changed files with 16 additions and 71 deletions
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2
GPy/testing/psi_stat_gradient_tests.py
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@ -113,7 +113,6 @@ if __name__ == "__main__":
# Y -= Y.mean(axis=0)
# k = GPy.kern.linear(input_dim) + GPy.kern.bias(input_dim) + GPy.kern.white(input_dim, 0.00001)
# m = GPy.models.Bayesian_GPLVM(Y, input_dim, kernel=k, num_inducing=num_inducing)
# m.ensure_default_constraints()
# m.randomize()
# # self.assertTrue(m.checkgrad())
numpy.random.seed(0)
@ -146,7 +145,6 @@ if __name__ == "__main__":
# num_inducing=num_inducing, kernel=GPy.kern.rbf(input_dim))
m3 = PsiStatModel('psi2', X=X, X_variance=X_var, Z=Z,
num_inducing=num_inducing, kernel=GPy.kern.linear(input_dim, ARD=True, variances=numpy.random.rand(input_dim)))
m3.ensure_default_constraints()
# + GPy.kern.bias(input_dim))
# m4 = PsiStatModel('psi2', X=X, X_variance=X_var, Z=Z,
# num_inducing=num_inducing, kernel=GPy.kern.rbf(input_dim) + GPy.kern.bias(input_dim))