  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;):
            pred_dict[k] = v.predict_proba
    preds = self._apply_func(*args, out_dict=pred_dict)
    if with_uncertainty:
        return prediction_uncertainty(preds, group_by)
    return preds</code></pre>
</details>
</dd>
<dt id="vflow.vset.Vset.transform"><code class="name flex">
<s