code: def export(self, model_name, export_folder):
          
          for transformer in self.transformers:
              if isinstance(transformer, MultiLabelBinarizer):
                  joblib.dump(transformer,
                              join(export_folder, "label.transformer.bin"),
                              protocol=2)
              if isinstance(transformer, TfidfVectorizer):
                  joblib.dump(transformer,
                              join(export_folder, "tfidf.transformer.bin"),
                              protocol=2)
              if isinstance(transformer, CountVectorizer):
                  joblib.dump(transformer,
                              join(export_folder, "count.transformer.bin"),
                              protocol=2)
              if isinstance(transformer, NumberRemover):
                  joblib.dump(transformer,
                              join(export_folder, "number.transformer.bin"),
                              protocol=2)
          model = [model for model in self.models if model.name == model_name][0]
          e = Experiment(self.X, self.y, model.estimator, None)
          model_filename = join(export_folder, "model.bin")
          e.export(model_filename)
docs: Export model and transformers to export_folder
  
          Parameters
          ----------
          model_name: string
              name of model to export
          export_folder: string
              folder to store exported model and transformers