Group initial value related properties and methods

Author: michaelosthege

pymc3/model.py

@@ -912,6 +912,16 @@ def independent_vars(self):
         """
         return inputvars(self.unobserved_RVs)
 
+    @property
+    def disc_vars(self):
+        """All the discrete variables in the model"""
+        return list(typefilter(self.value_vars, discrete_types))
+
+    @property
+    def cont_vars(self):
+        """All the continuous variables in the model"""
+        return list(typefilter(self.value_vars, continuous_types))
+
     @property
     def test_point(self) -> Dict[str, np.ndarray]:
         """Deprecated alias for `Model.initial_point`."""
@@ -935,16 +945,6 @@ def initial_values(self) -> Dict[TensorVariable, np.ndarray]:
         """
         return self._initial_values
 
-    @property
-    def disc_vars(self):
-        """All the discrete variables in the model"""
-        return list(typefilter(self.value_vars, discrete_types))
-
-    @property
-    def cont_vars(self):
-        """All the continuous variables in the model"""
-        return list(typefilter(self.value_vars, continuous_types))
-
     def set_initval(self, rv_var, initval):
         if initval is not None:
             initval = rv_var.type.filter(initval)