       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_training.columns
            X_training=df_training.values.astype(str)

            model=Qnet(feature_names=featurenames,alpha=alpha)
            model.fit(X_training)
            model.training_index=training_i