lsteps (int): Number of steps for q-sampling in the background distribution.</li>
<li>veritas_version (str): Version identifier for the model.</li>
</ul></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def fit(self,
        alpha=0.1,
        shap_index=None,
        shapnum=10,
        nullsteps=100000,
        veritas_version=&#39;0.0.1&#39;):
    &#34;&#34;&#34;
    Fits the Veritas model to the provided data. It involves training Q-net models