Remove ext model handling from BaseFitter

src/zfitwrapper/BaseFitter.py

@@ -21,8 +21,6 @@ class BaseFitter(ABC):
         self.model = model
         self.retry = retry
 
-        self._ext_loss = False
-
         self.result_text = []  # type: List[str]
 
     @property
@@ -47,14 +45,6 @@ class BaseFitter(ABC):
     def gof(self) -> float:
         pass
 
-    @property
-    def ext_loss(self) -> bool:
-        return self._ext_loss
-
-    @ext_loss.setter
-    def ext_loss(self, loss: bool) -> None:
-        self._ext_loss = loss
-
     def _calc_gof(self, counts: np.ndarray, centers: np.ndarray) -> float:
         limits = self.model.obs.limits
         low, high = np.min(limits), np.max(limits)
@@ -122,18 +112,6 @@ class BaseFitter(ABC):
                     )
                 )
 
-    def _reset_yield(self, model: Model) -> None:
-        ext_model = model.ext_model
-        assert isinstance(ext_model, zfit.core.interfaces.ZfitPDF)
-
-        yield_params = ext_model.get_yield()
-
-        if isinstance(yield_params, zfit.core.interfaces.ZfitParameter):
-            for param in yield_params.get_params():
-                if param.value() != param.value():
-                    assert isinstance(param, zfit.Parameter)
-                    param.randomize(minval=None, maxval=None, sampler=np.random.uniform)
-
     def _randomize_parameters(self, model: Model) -> None:
         for param in model.parameters.values():
             modelparameter = model.get_modelparameter(param.name)
@@ -182,9 +160,6 @@ class BaseFitter(ABC):
 
             self._randomize_parameters(model=model)
 
-            if self.ext_loss:
-                self._reset_yield(model=model)
-
             counter += 1
             self._fit(model=model, shuffle_params=shuffle_params, counter=counter)