empty spaces

GPy/models/sparse_gp_regression.py

@@ -45,10 +45,10 @@ class SparseGPRegression(SparseGP):
             assert Z.shape[1] == input_dim
 
         likelihood = likelihoods.Gaussian()
-        
+
         if not (X_variance is None):
             X = NormalPosterior(X,X_variance)
-        
+
         SparseGP.__init__(self, X, Y, Z, kernel, likelihood, inference_method=VarDTC())
 
     def _getstate(self):

GPy/plotting/matplot_dep/models_plots.py

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