def _raw_predict(self, Xnew, full_cov=False, kern=None):
        mu, var = self.posterior._raw_predict(kern=self.kern if kern is None else kern, Xnew=Xnew, pred_var=self._predictive_variable, full_cov=full_cov)
        if self.mean_function is not None:
            mu += self.mean_function.f(Xnew)
        return mu, var
Gets a rule given its name.
dataset/ETHPy150Open SheffieldML/GPy/GPy/core/gp.py/GP._raw_predict--crossover with--dataset/ETHPy150Open oppia/oppia/extensions/interactions/base.py/BaseInteraction.get_rule_by_name