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Author: bwengals

pymc3/gp/gp.py

@@ -210,10 +210,14 @@ def _build_conditional(self, Xnew, X, y, noise, cov_total, mean_total,
             return mu, stabilize(cov)
 
     def _get_cond_vals(self, other=None):
+        # LOOK AT THIS MORE, where to X, y, noise need to come from? depending on situation
+        # provide this function with **kwargs and return those if given? X=X, y=y, etc
+        #  i think this would be good.  could build the gp "from scratch".  caching these
+        #  from prior or marglike is a convenience
         if other is None:
             return self.X, self.y, self.noise, self.cov_func, self.mean_func,
         else:
-            return other.X, other.y, other.noise, other.cov_func, other.mean_func
+            return self.X, self.y, self.noise, other.cov_func, other.mean_func
 
     def conditional(self, name, n_points, Xnew, given=None, pred_noise=False):
         # try to get n_points from X, (via cast to int?), error if cant and n_points is none