handling nans

KeplerGO · Dec 1, 2017 · c8d0c7b · c8d0c7b
1 parent 6eb3c49
commit c8d0c7b
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/oktopus/likelihood.py b/oktopus/likelihood.py
@@ -327,7 +327,7 @@ def __repr__(self):
 
     def evaluate(self, params):
         r = self.data - self.mean(*params)
-        return 0.5 * np.sum(r * r / self.var)
+        return 0.5 * np.nansum(r * r / self.var)
 
     def gradient(self, params):
         # use the gradient if the model provides it.