From ca4f83f5d100b095cec30aafc2a1fe61b7618782 Mon Sep 17 00:00:00 2001
From: Fabian Joswig <fabian.joswig@ed.ac.uk>
Date: Fri, 7 Oct 2022 17:57:02 +0100
Subject: [PATCH] fix: bug in num_grad version of prior fit fixed.

---
 pyerrors/fits.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/pyerrors/fits.py b/pyerrors/fits.py
index d4087caf..79c11d39 100644
--- a/pyerrors/fits.py
+++ b/pyerrors/fits.py
@@ -426,8 +426,6 @@ def _prior_fit(x, y, func, priors, silent=False, **kwargs):
         raise Exception('The minimization procedure did not converge.')
 
     hess = hessian(chisqfunc)(params)
-    if kwargs.get('num_grad') is True:
-        hess = hess[0]
     hess_inv = np.linalg.pinv(hess)
 
     def chisqfunc_compact(d):