class_docstr: Custom forecaster. todo: write docstring.
  
  todo: describe your custom forecaster here
  
  Parameters
  ----------
  parama : int
      descriptive explanation of parama
  paramb : string, optional (default='default')
      descriptive explanation of paramb
  paramc : boolean, optional (default= whether paramb is not the default)
      descriptive explanation of paramc
  and so on
  est : sktime.estimator, BaseEstimator descendant
      descriptive explanation of est
  est2: another estimator
      descriptive explanation of est2
  and so on
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docstr: Make single-step or multi-step moving cutoff predictions.
  
  Parameters
  ----------
  y : pd.Series
  cv : temporal cross-validation generator
  X : pd.DataFrame
  update_params : bool
  
  Returns
  -------
  y_pred = pd.Series
docstr_tok: ["Make","single-step","or","multi-step","moving","cutoff","predictions",".","Parameters","--","--","--","--","--","y",":","pd.Series","cv",":","temporal","cross-validation","generator","X",":","pd.DataFrame","update_params",":","bool","Returns","--","--","--","-","y_pred","=","pd.Series"]
code: def _predict_moving_cutoff(self, y, cv, X=None, update_params=True):
      """Make single-step or multi-step moving cutoff predictions.
  
      Parameters
      ----------
      y : pd.Series
      cv : temporal cross-validation generator
      X : pd.DataFrame
      update_params : bool
  
      Returns
      -------
      y_pred = pd.Series
      """
  
file_path: sktime/extension_templates/forecasting.py
imports: from sktime.forecasting.base import BaseForecaster
label_desc: Use image node_id 10 for calling the MyForecaster obj's underlying member method code with example usage: obj._predict_moving_cutoff(y, cv, X, update_params) without return types