Python normilize_error_output Examples

Example #1

File: base.py Project: Neocher/neupy

    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

Example #2

    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

Example #3

File: base.py Project: Neocher/neupy

 def previous_error(self):
     errors = self.errors_in
     return normilize_error_output(errors[-2]) if len(errors) > 2 else None

Example #4

File: base.py Project: Neocher/neupy

 def _last_error(self, errors):
     if errors and errors[-1] is not None:
         return normilize_error_output(errors[-1])

Example #5

 def previous_error(self):
     errors = self.errors_in
     return normilize_error_output(errors[-2]) if len(errors) > 2 else None

Example #6

 def _last_error(self, errors):
     if errors and errors[-1] is not None:
         return normilize_error_output(errors[-1])