chore: specify the gradient option for pyhf loss

zfit · Oct 30, 2024 · ce295fe · ce295fe
1 parent 6e0f178
commit ce295fe
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/src/zfit_physics/pyhf/loss.py b/src/zfit_physics/pyhf/loss.py
@@ -44,4 +44,4 @@ def nll_func(params, *, data=data, pdf=pdf, errordef=errordef):
         params = np.asarray(params)
         return mle.twice_nll(params, data, pdf) * errordef
 
-    return zfit.loss.SimpleLoss(func=nll_func, params=params, errordef=errordef)
+    return zfit.loss.SimpleLoss(func=nll_func, params=params, errordef=errordef, gradient="num", jit=False)