class_docstr: Base class for instanes that stack job estimators
code: def __init__(self, stack=None, verbose=False, *args, **kwargs):
      super(BaseStacker, self).__init__(*args, **kwargs)
      if stack and not isinstance(stack, list):
          raise ValueError(
              "Stack must be a list. Got %r:" % type(stack)
          )
      self.stack = stack if stack else list()
      self._verbose = verbose
  
imports: import warnings
  from abc import abstractmethod
  import numpy
  from ._base_functions import check_stack, check_params
  from ..None import config
  from ..utils.exceptions import ParallelProcessingError
  from ..externals.sklearn.base import clone, BaseEstimator
label_desc: Use image node_id 1 to create a new BaseStacker object from inherited base classes: BaseEstimator with example: obj = BaseStacker(stack, verbose)