def _carry_over_regressor_fit_vars(self):
self._clear_regressor_fit_vars()
for k, v in get_all_object_vars_and_properties(self.regressor_).items():
if is_fit_var(k):
try:
setattr(self, k, v)
self._fit_vars.add(k)
except:
pass
def _carry_over_final_estimator_fit_vars(self):
self._clear_final_estimator_fit_vars()
if hasattr(self._final_estimator, "fit"):
for k, v in get_all_object_vars_and_properties(
self._final_estimator).items():
if is_fit_var(k):
try:
setattr(self, k, v)
self._fit_vars.add(k)
except:
pass
def _clear_regressor_fit_vars(self, all: bool = False):
vars_to_remove = []
try:
for var in self._fit_vars:
if all or var not in get_all_object_vars_and_properties(self.regressor_):
vars_to_remove.append(var)
for var in vars_to_remove:
try:
delattr(self, var)
self._fit_vars.remove(var)
except:
pass
except:
pass
def _clear_final_estimator_fit_vars(self, all: bool = False):
vars_to_remove = []
try:
for var in self._fit_vars:
if (all or var not in get_all_object_vars_and_properties(
self._final_estimator).items()):
vars_to_remove.append(var)
for var in vars_to_remove:
try:
delattr(self, var)
self._fit_vars.remove(var)
except:
pass
except:
pass
