class_docstr: Base forecaster template class.
  
  The base forecaster specifies the methods and method signatures that all forecasters
  have to implement.
  
  Specific implementations of these methods is deferred to concrete forecasters.
class_docstr_tok: ["Base","forecaster","template","class",".","The","base","forecaster","specifies","the","methods","and","method","signatures","that","all","forecasters","have","to","implement",".","Specific","implementations","of","these","methods","is","deferred","to","concrete","forecasters","."]
docstr: Magic | method, return MultiplexForecaster.
  
  Implemented for `other` being either a MultiplexForecaster or a forecaster.
  
  Parameters
  ----------
  other: `sktime` forecaster or sktime MultiplexForecaster
  
  Returns
  -------
  MultiplexForecaster object
docstr_tok: ["Magic","|","method",",","return","MultiplexForecaster",".","Implemented","for","`","other","`","being","either","a","MultiplexForecaster","or","a","forecaster",".","Parameters","--","--","--","--","--","other",":","`","sktime","`","forecaster","or","sktime","MultiplexForecaster","Returns","--","--","--","-","MultiplexForecaster","object"]
code: def __or__(self, other):
      """Magic | method, return MultiplexForecaster.
  
      Implemented for `other` being either a MultiplexForecaster or a forecaster.
  
      Parameters
      ----------
      other: `sktime` forecaster or sktime MultiplexForecaster
  
      Returns
      -------
      MultiplexForecaster object
      """
      from sktime.forecasting.compose import MultiplexForecaster
  
      if isinstance(other, MultiplexForecaster) or isinstance(
          other, BaseForecaster
      ):
          multiplex_self = MultiplexForecaster([self])
          return multiplex_self | other
      else:
          return NotImplemented
  
imports: from copy import deepcopy
  from itertools import product
  import numpy
  import pandas
  from sktime.base import BaseEstimator
  from sktime.datatypes import VectorizedDF, check_is_scitype, convert_to, get_cutoff, mtype_to_scitype, scitype_to_mtype, update_data
  from sktime.forecasting.base._fh import ForecastingHorizon
  from sktime.utils.datetime import _shift
  from sktime.utils.validation._dependencies import _check_estimator_deps
  from sktime.utils.validation.forecasting import check_alpha, check_cv, check_fh, check_X
  from sktime.utils.validation.series import check_equal_time_index
  from sktime.utils.warnings import warn
label_desc: Use image node_id 5 for calling the BaseForecaster obj's underlying member method code with example usage: obj.__or__(other) and returns: unknown, NotImplemented