orm&#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
        if self.targ