class_docstr: Parallel processing base class.
  
  Base class for parallel processing engines.
  
  Parameters
  ----------
  backend: str, optional
      Type of backend. One of ``'threading'``, ``'multiprocessing'``,
      ``'sequential'``.
  
  n_jobs : int, optional
      Degree of concurrency.
  
  verbose: bool, int, optional
      Level of verbosity of the
      :class:`~mlens.externals.joblib.parallel.Parallel` instance.
class_docstr_tok: ["Parallel","processing","base","class",".","Base","class","for","parallel","processing","engines",".","Parameters","--","--","--","--","--","backend",":","str",",","optional","Type","of","backend",".","One","of","``","'threading","'","``",",","``","'multiprocessing","'","``",",","``","'sequential","'","``",".","n_jobs",":","int",",","optional","Degree","of","concurrency",".","verbose",":","bool",",","int",",","optional","Level","of","verbosity","of","the",":","class",":","`","~mlens.externals.joblib.parallel.Parallel","`","instance","."]
code: def __init__(self, backend=None, n_jobs=None, verbose=None):
      self.job = None
      self.__initialized__ = 0
  
      self.backend = config.get_backend() if not backend else backend
      self.n_jobs = -1 if not n_jobs else n_jobs
      self.verbose = False if not verbose else verbose
      self.__threading__ = self.backend == "threading"
  
imports: from __future__ import with_statement, division
  import gc
  import os
  import shutil
  import subprocess
  import tempfile
  import warnings
  from abc import ABCMeta, abstractmethod
  import numpy
  from scipy.sparse import issparse, hstack
  from ..None import config
  from ..externals.joblib import Parallel, dump, load
  from ..utils import check_initialized
  from ..utils.exceptions import ParallelProcessingError, ParallelProcessingWarning
  from ..externals.sklearn.validation import check_random_state
label_desc: Use image node_id 1 to create a new BaseProcessor object from inherited base classes: object with example: obj = BaseProcessor(backend, n_jobs, verbose)