llsteps=100000, veritas_version='0.0.1')</span>
</code></dt>
<dd>
<div class="desc"><p>Fits the Veritas model to the provided data. It involves training Q-net models
for both positive and negative cases and determining feature importance using SHAP values.</p>
<h2 id="parameters">Parameters</h2>
<ul>
<li>alpha (float): The significance level for Qnet.</li>
<li>shap_index (list): Predefined list of SHAP indices if available.</li>
<li>shapnum (int): Number of samples to calculate SHAP values for.</li>
<li>nul