s, group_by)
        return preds

    def predict_proba(
        self, *args, with_uncertainty: bool = False, group_by: list = None
    ):
        &#34;&#34;&#34;Calls predict_proba on args using `_apply_func`&#34;&#34;&#34;
        if not self._fitted:
            raise AttributeError(
                &#34;Please fit the Vset object before calling predict_proba.&#34;
            )
        pred_dict = {}
        for k, v in self.fitted_vfuncs.items():
            if hasattr(v, &#34;predict_proba&#34;):
   