ase fit the Vset object before calling predict.&#34;)
    pred_dict = {}
    for k, v in self.fitted_vfuncs.items():
        if hasattr(v, &#34;predict&#34;):
            pred_dict[k] = v.predict
    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.predict_proba"><code class="name flex">
<span>def <span class="ident">predict_proba</span></span>(<span>self,