class_docstr: Base class for all pipeline objects.
  
  Notes
  -----
  This class should not be instantiated, only subclassed.
code: def get_max_iter(self):
      if self.estimator_supports_iterative_fit():
          return self._final_estimator.get_max_iter()
      else:
          raise NotImplementedError()
  
imports: from abc import ABCMeta
  from typing import Dict, Optional, Union
  import numpy
  import scipy.sparse
  from ConfigSpace import Configuration
  from sklearn.pipeline import Pipeline
  import autosklearn.pipeline.create_searchspace_util
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from .components.base import AutoSklearnChoice, AutoSklearnComponent
label_desc: Use image node_id 7 for calling the BasePipeline obj's underlying member method code with example usage: obj.get_max_iter() and returns: self