          veritas_version=&#39;0.0.1&#39;):
        &#34;&#34;&#34;
        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.

        Parameters:
            - alpha (float): The significance level for Qnet.
            - shap_index (list): Predefined list of SHAP indices if available.
            - shapnum (int): Number of samples to calculate SHAP values for.
            - nulls