oring=cv_scoring)
            alpha_scores.append(np.mean(fold_scores))

    if cv and np.all(alpha_scores != alpha_scores[0]):
        # check for rare case in which diff alphas lead to identical scores
        final_alpha = alphas[np.argmax(alpha_scores)]
    else:
        final_alpha = alphas[i - 1]

    return final_alpha</code></pre>
</details>
</section>
<section>
</section>
<section>
</section>
<section>
<h2 class="section-title" id="header-functions">Functions</h2>
<dl>
<dt id="imodels.util.score.ge