diff --git a/docs/pyerrors/fits.html b/docs/pyerrors/fits.html
index 4e33e2d0..b950c818 100644
--- a/docs/pyerrors/fits.html
+++ b/docs/pyerrors/fits.html
@@ -417,7 +417,8 @@
result = []
for i in range(n_parms):
- result.append(derived_observable(lambda x, **kwargs: x[0], [pseudo_Obs(out.beta[i], 0.0, y[0].names[0], y[0].shape[y[0].names[0]])] + list(x.ravel()) + list(y), man_grad=[0] + list(deriv_x[i]) + list(deriv_y[i])))
+ result.append(derived_observable(lambda x, **kwargs: x[0], list(x.ravel()) + list(y), man_grad=list(deriv_x[i]) + list(deriv_y[i])))
+ result[-1]._value = out.beta[i]
output.fit_parameters = result + const_par
@@ -534,7 +535,8 @@
result = []
for i in range(n_parms):
- result.append(derived_observable(lambda x, **kwargs: x[0], [pseudo_Obs(params[i], 0.0, y[0].names[0], y[0].shape[y[0].names[0]])] + list(y) + list(loc_priors), man_grad=[0] + list(deriv[i])))
+ result.append(derived_observable(lambda x, **kwargs: x[0], list(y) + list(loc_priors), man_grad=list(deriv[i])))
+ result[-1]._value = params[i]
output.fit_parameters = result
output.chisquare = chisqfunc(np.asarray(params))
@@ -728,7 +730,8 @@
result = []
for i in range(n_parms):
- result.append(derived_observable(lambda x, **kwargs: x[0], [pseudo_Obs(fit_result.x[i], 0.0, y[0].names[0], y[0].shape[y[0].names[0]])] + list(y), man_grad=[0] + list(deriv[i])))
+ result.append(derived_observable(lambda x, **kwargs: x[0], list(y), man_grad=list(deriv[i])))
+ result[-1]._value = fit_result.x[i]
output.fit_parameters = result + const_par
@@ -1451,7 +1454,8 @@ List of N Obs that are used to constrain the last N fit parameters of func.
result = []
for i in range(n_parms):
- result.append(derived_observable(lambda x, **kwargs: x[0], [pseudo_Obs(out.beta[i], 0.0, y[0].names[0], y[0].shape[y[0].names[0]])] + list(x.ravel()) + list(y), man_grad=[0] + list(deriv_x[i]) + list(deriv_y[i])))
+ result.append(derived_observable(lambda x, **kwargs: x[0], list(x.ravel()) + list(y), man_grad=list(deriv_x[i]) + list(deriv_y[i])))
+ result[-1]._value = out.beta[i]
output.fit_parameters = result + const_par