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Max Zwiessele 2014-03-11 10:25:21 +00:00
parent 3e91ea497d
commit 10608a4565
2 changed files with 3 additions and 3 deletions
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4
GPy/models/sparse_gp_regression.py
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@ -45,10 +45,10 @@ class SparseGPRegression(SparseGP):
assert Z.shape[1] == input_dim assert Z.shape[1] == input_dim
likelihood = likelihoods.Gaussian() likelihood = likelihoods.Gaussian()
if not (X_variance is None): if not (X_variance is None):
X = NormalPosterior(X,X_variance) X = NormalPosterior(X,X_variance)
SparseGP.__init__(self, X, Y, Z, kernel, likelihood, inference_method=VarDTC()) SparseGP.__init__(self, X, Y, Z, kernel, likelihood, inference_method=VarDTC())
def _getstate(self): def _getstate(self):

2
GPy/plotting/matplot_dep/models_plots.py
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@ -56,7 +56,7 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
if ax is None: if ax is None:
fig = pb.figure(num=fignum) fig = pb.figure(num=fignum)
ax = fig.add_subplot(111) ax = fig.add_subplot(111)
if hasattr(model, 'has_uncertain_inputs') and model.has_uncertain_inputs(): if hasattr(model, 'has_uncertain_inputs') and model.has_uncertain_inputs():
X = model.X.mean X = model.X.mean
X_variance = param_to_array(model.X.variance) X_variance = param_to_array(model.X.variance)