9;] = zt.scoretoprobability
        
        if Z.ppv.values[0] &gt; 0.85:
            THR=0.85
        else:
            THR=Z.ppv.values[2]
            
        self.veritas_model[&#39;UPPER_THRESHOLD&#39;] = Z[Z.ppv &gt; THR].threshold.values[-1]
        self.veritas_model[&#39;AUC&#39;] = zt.auc()
    return </code></pre>
</details>
</dd>
<dt id="truthnet.truthnet.truthnet.fit"><code class="name flex">
<span>def <span class="ident">fit</span></span>(<span>self, alpha=0.1, shap_index=None, shapnum=10, nu