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merge with upstream

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This commit is contained in:
Zhenwen Dai 2016-03-10 18:17:35 +00:00
commit ba74e29aee
115 changed files with 1178 additions and 531 deletions
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GPy/core/gp.py
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@ -401,9 +401,9 @@ class GP(Model):
var_jac = compute_cov_inner(self.posterior.woodbury_inv)
return mean_jac, var_jac
def predict_wishard_embedding(self, Xnew, kern=None, mean=True, covariance=True):
def predict_wishart_embedding(self, Xnew, kern=None, mean=True, covariance=True):
"""
Predict the wishard embedding G of the GP. This is the density of the
Predict the wishart embedding G of the GP. This is the density of the
input of the GP defined by the probabilistic function mapping f.
G = J_mean.T*J_mean + output_dim*J_cov.
@ -431,6 +431,10 @@ class GP(Model):
G += Sigma
return G
def predict_wishard_embedding(self, Xnew, kern=None, mean=True, covariance=True):
warnings.warn("Wrong naming, use predict_wishart_embedding instead. Will be removed in future versions!", DeprecationWarning)
return self.predict_wishart_embedding(Xnew, kern, mean, covariance)
def predict_magnification(self, Xnew, kern=None, mean=True, covariance=True):
"""
Predict the magnification factor as