pymc-learn
diff --git a/‎pmlearn/__init__.py
Copy file name to clipboardExpand all lines: pmlearn/__init__.py
+1-1Lines changed: 1 addition & 1 deletion b/‎pmlearn/__init__.py
Copy file name to clipboardExpand all lines: pmlearn/__init__.py
+1-1Lines changed: 1 addition & 1 deletion
diff --git a/‎pmlearn/gaussian_process/gpr.py
Copy file name to clipboardExpand all lines: pmlearn/gaussian_process/gpr.py
+3-3Lines changed: 3 additions & 3 deletions b/‎pmlearn/gaussian_process/gpr.py
Copy file name to clipboardExpand all lines: pmlearn/gaussian_process/gpr.py
+3-3Lines changed: 3 additions & 3 deletions
@@ -10,7 +10,7 @@
 See http://pymc-learn.org for complete documentation.
 """
 
-__version__ = '0.0.1.rc2'
+__version__ = '0.0.1.rc3'
 
 __all__ = ['gaussian_process',
            'linear_model',
 
@@ -144,7 +144,7 @@ def create_model(self):
             if self.prior_mean is None:
                 mean_function = pm.gp.mean.Zero()
             else:
-                mean_function = self.prior_mean
+                mean_function = pm.gp.mean.Constant(c=self.prior_mean)
 
             self.gp = pm.gp.Latent(mean_func=mean_function,
                                    cov_func=cov_function)
@@ -259,7 +259,7 @@ def create_model(self):
             if self.prior_mean is None:
                 mean_function = pm.gp.mean.Zero()
             else:
-                mean_function = self.prior_mean
+                mean_function = pm.gp.mean.Constant(c=self.prior_mean)
 
             self.gp = pm.gp.Latent(mean_func=mean_function,
                                    cov_func=cov_function)
@@ -373,7 +373,7 @@ def create_model(self):
             if self.prior_mean is None:
                 mean_function = pm.gp.mean.Zero()
             else:
-                mean_function = self.prior_mean
+                mean_function = pm.gp.mean.Constant(c=self.prior_mean)
 
             self.gp = pm.gp.MarginalSparse(mean_func=mean_function,
                                            cov_func=cov_function,