def _normalized_errors(self, errors):
if not len(errors) or isinstance(errors[0], float):
return errors
self.logs.warning("Your errors bad formated for plot output. " "They will be normilized.")
normilized_errors = []
for error in errors:
normilized_errors.append(normilize_error_output(error))
return normilized_errors
def _normalized_errors(self, errors):
if not len(errors) or isinstance(errors[0], float):
return errors
self.logs.warn("Your errors bad formated for plot output. "
"They will be normilized.")
normilized_errors = []
for error in errors:
normilized_errors.append(normilize_error_output(error))
return normilized_errors
def previous_error(self):
errors = self.errors_in
return normilize_error_output(errors[-2]) if len(errors) > 2 else None
def _last_error(self, errors):
if errors and errors[-1] is not None:
return normilize_error_output(errors[-1])
def previous_error(self):
errors = self.errors_in
return normilize_error_output(errors[-2]) if len(errors) > 2 else None
def _last_error(self, errors):
if errors and errors[-1] is not None:
return normilize_error_output(errors[-1])
