               .values.astype(str)
            Xneg_training=df_training_neg.drop(self.target_label,
                                               axis=1)\
                                         .values.astype(str)

            featurenames = df_training_pos.drop(self.target_label,
                                                axis=1).columns

            if self.VERBOSE:
                print(&#34;training qnets&#34;)
            
            modelneg=Qnet(feature_names=featurenames,alpha=alpha)
     