les, n_features])</em>.</p>
</li>
<li>
<p><code>t</code>: <strong>double</strong> <em>(default=None)</em> --
     time at which the prediction should be performed.
     If None, then return the function for all available t.</p>
</li>
</ul>
<p><strong>Returns:</strong></p>
<ul>
<li><code>survival</code>: <strong>numpy.ndarray</strong> --
    array-like representing the prediction of the survival function</li>
</ul>
</div>
<div class="admonition abstract">
<p class="admonition-title"><code>predict_risk</code>