                             axis=1).columns

            if self.VERBOSE:
                print(&#34;training qnets&#34;)
            
            modelneg=Qnet(feature_names=featurenames,alpha=alpha)
            modelneg.fit(Xneg_training)
            modelpos=Qnet(feature_names=featurenames,alpha=alpha)
            modelpos.fit(Xpos_training)
            modelneg.training_index=training_index
            modelpos.training_index=training_index
            
        else:
            featurenames = df_train