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plotting fix

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This commit is contained in:
James Hensman 2014-03-13 16:44:39 +00:00
parent 328e0124c7
commit c302e515e2
5 changed files with 6 additions and 7 deletions
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2
GPy/likelihoods/gaussian.py
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@ -94,7 +94,7 @@ class Gaussian(Likelihood):
return self.variance + sigma**2
def predictive_quantiles(self, mu, var, quantiles, Y_metadata):
return [stats.norm.ppf(q)*np.sqrt(var) + mu for q in quantiles]
return [stats.norm.ppf(q/100.)*np.sqrt(var) + mu for q in quantiles]
def pdf_link(self, link_f, y, extra_data=None):
"""

2
GPy/likelihoods/likelihood.py
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@ -397,7 +397,7 @@ class Likelihood(Parameterized):
return [np.percentile(ss_y ,q, axis=1)[:,None] for q in quantiles]
def samples(self, gp):
def samples(self, gp, Y_metadata=None):
"""
Returns a set of samples of observations based on a given value of the latent variable.

2
GPy/likelihoods/student_t.py
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@ -263,7 +263,7 @@ class StudentT(Likelihood):
def conditional_variance(self, gp):
return self.deg_free/(self.deg_free - 2.)
def samples(self, gp):
def samples(self, gp, Y_metadata=None):
"""
Returns a set of samples of observations based on a given value of the latent variable.