class_docstr: Base class for parallel backend
  
  Implements default backend settings.
code: def __init__(
      self, backend=None, n_jobs=-1, dtype=None, raise_on_exception=True
  ):
      self.n_jobs = n_jobs
      self.dtype = dtype if dtype is not None else config.get_dtype()
      self.backend = (
          backend if backend is not None else config.get_backend()
      )
      self.raise_on_exception = raise_on_exception
  
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 BaseBackend object from inherited base classes: object with example: obj = BaseBackend(backend, n_jobs, dtype, raise_on_exception)