d_alpha)

    dfitv = distfit(smooth=10, distr=&#39;lognorm&#39;,verbose=None)
    dfitv.fit_transform(veritas_)
    dfv, locv, scalev = dfitv.model[&#39;params&#39;]
    distv = lognorm(dfv, loc=locv, scale=scalev)
    self.veritas_model[&#39;dist_veritas&#39;] = distv        
    self.veritas_model[&#39;VERITAS_THRESHOLD&#39;] = distv.ppf(self.threshold_alpha_veritas)

    if self.VERBOSE:
        print(self.veritas_model)
    
    # Using test data to infer the decision threshold for the upper threshold
