Added gibbs.py, although test is still failing.

GPy/mappings/kernel.py

@@ -33,7 +33,7 @@ class Kernel(Mapping):
         self.A = np.array((self.num_data, self.output_dim))
         self.bias = np.array(self.output_dim)
         self.randomize()
-        
+        self.name = 'kernel'
     def _get_param_names(self):
         return sum([['A_%i_%i' % (n, d) for d in range(self.output_dim)] for n in range(self.num_data)], []) + ['bias_%i' % d for d in range(self.output_dim)]
 

GPy/mappings/linear.py

@@ -20,6 +20,7 @@ class Linear(Mapping):
     """
 
     def __init__(self, input_dim=1, output_dim=1):
+        self.name = 'linear'
         Mapping.__init__(self, input_dim=input_dim, output_dim=output_dim)
         self.num_params = self.output_dim*(self.input_dim + 1)
         self.W = np.array((self.input_dim, self.output_dim))

GPy/mappings/mlp.py

@@ -26,6 +26,7 @@ class MLP(Mapping):
 
     def __init__(self, input_dim=1, output_dim=1, hidden_dim=3):
         Mapping.__init__(self, input_dim=input_dim, output_dim=output_dim)
+        self.name = 'mlp'
         if isinstance(hidden_dim, int):
             hidden_dim = [hidden_dim]
         self.hidden_dim = hidden_dim