def is_fitted()

in orbit/forecaster/forecaster.py [0:0]

• 7 lines of code
• 6 McCabe index (conditional complexity)

    def is_fitted(self):
        # if either point posterior or posterior_samples are non-empty, claim it as fitted model (true),
        # else false.
        if bool(self._posterior_samples):
            return True
        for key in self._point_posteriors.keys():
            if bool(self._point_posteriors[key]):
                return True
        return False