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fixed printing, some example

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This commit is contained in:
James Hensman 2013-06-04 17:54:36 +01:00
parent 6d64559f1f
commit 6196ed794e
2 changed files with 5 additions and 2 deletions
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5
GPy/core/model.py
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@ -316,7 +316,10 @@ class model(parameterised):
def __str__(self): def __str__(self):
s = parameterised.__str__(self).split('\n') s = parameterised.__str__(self).split('\n')
# add priors to the string # add priors to the string
strs = [str(p) if p is not None else '' for p in self.priors] if self.priors is not None:
strs = [str(p) if p is not None else '' for p in self.priors]
else:
strs = ['']*len(self._get_params())
width = np.array(max([len(p) for p in strs] + [5])) + 4 width = np.array(max([len(p) for p in strs] + [5])) + 4
log_like = self.log_likelihood() log_like = self.log_likelihood()

2
GPy/examples/regression.py
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@ -275,7 +275,7 @@ def sparse_GP_regression_1D(N = 400, M = 5, max_nb_eval_optim=100):
# create simple GP model # create simple GP model
m = GPy.models.sparse_GP_regression(X, Y, kernel, M=M) m = GPy.models.sparse_GP_regression(X, Y, kernel, M=M)
m.constrain_positive('(variance|lengthscale|precision)') m.ensure_default_constraints()
m.checkgrad(verbose=1) m.checkgrad(verbose=1)
m.optimize('tnc', messages = 1, max_f_eval=max_nb_eval_optim) m.optimize('tnc', messages = 1, max_f_eval=max_nb_eval_optim)