refactor: deprecated e_tag and e_tag_global removed from modules and

tests
This commit is contained in:
Fabian Joswig 2021-11-15 17:24:56 +00:00
parent f1a45f4200
commit ed6bb24607
3 changed files with 11 additions and 19 deletions

View file

@ -88,8 +88,6 @@ def least_squares(x, y, func, priors=None, silent=False, **kwargs):
priors has to be a list with an entry for every parameter in the fit. The entries can either be
Obs (e.g. results from a previous fit) or strings containing a value and an error formatted like
0.548(23), 500(40) or 0.5(0.4)
It is important for the subsequent error estimation that the e_tag for the gamma method is large
enough.
silent : bool, optional
If true all output to the console is omitted (default False).
initial_guess : list
@ -323,9 +321,6 @@ def _prior_fit(x, y, func, priors, silent=False, **kwargs):
output.fit_function = func
if Obs.e_tag_global < 4:
warnings.warn("e_tag_global is smaller than 4, this can cause problems when calculating errors from fits with priors", RuntimeWarning)
x = np.asarray(x)
if not callable(func):