ndex

        
        def funcw_(S):
            return np.array([membership_degree(s,modelneg)
                             /membership_degree(s,modelpos) for s in S])

        def funcm_(S):
            return funcm(S,model)

        if self.target_label:
            X=df_test.drop(self.target_label,
                           axis=1).values.astype(str)
        
            NULLSTR=np.array([&#39;&#39;]*len(modelneg.feature_names))
            s_background=qsample(NULLSTR,modelneg,steps=nullsteps)
      