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.
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docstr: Set and update cutoff.
  
  Parameters
  ----------
  cutoff: pandas compatible index or index element
  
  Notes
  -----
  Set self._cutoff to `cutoff`, coerced to a pandas.Index.
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code: def _set_cutoff(self, cutoff):
      """Set and update cutoff.
  
      Parameters
      ----------
      cutoff: pandas compatible index or index element
  
      Notes
      -----
      Set self._cutoff to `cutoff`, coerced to a pandas.Index.
      """
      if not isinstance(cutoff, pd.Index):
          cutoff = pd.Index([cutoff])
      self._cutoff = cutoff
  
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 25 for calling the BaseForecaster obj's underlying member method code with example usage: obj._set_cutoff(cutoff) without return types