class_docstr: Transformer base class.
class_docstr_tok: ["Transformer","base","class","."]
docstr: Inverse transform X and return an inverse transformed version.
  
  private _inverse_transform containing core logic, called from inverse_transform
  
  Parameters
  ----------
  X : Series or Panel of mtype X_inner_mtype
      if X_inner_mtype is list, _inverse_transform must support all types in it
      Data to be transformed
  y : Series or Panel, default=None
      Additional data, e.g., labels for transformation
  
  Returns
  -------
  inverse transformed version of X
      of the same type as X, and conforming to mtype format specifications
  
  See extension_templates/transformer.py for implementation details.
code: def _inverse_transform(self, X, y=None):
      """Inverse transform X and return an inverse transformed version.
  
      private _inverse_transform containing core logic, called from inverse_transform
  
      Parameters
      ----------
      X : Series or Panel of mtype X_inner_mtype
          if X_inner_mtype is list, _inverse_transform must support all types in it
          Data to be transformed
      y : Series or Panel, default=None
          Additional data, e.g., labels for transformation
  
      Returns
      -------
      inverse transformed version of X
          of the same type as X, and conforming to mtype format specifications
  
      See extension_templates/transformer.py for implementation details.
      """
      raise NotImplementedError("abstract method")
  
imports: from itertools import product
  from typing import Union
  import numpy
  import pandas
  from sktime.base import BaseEstimator
  from sktime.datatypes import VectorizedDF, check_is_error_msg, check_is_mtype, check_is_scitype, convert, convert_to, mtype_to_scitype, update_data
  from sktime.datatypes._series_as_panel import convert_to_scitype
  from sktime.utils.sklearn import is_sklearn_classifier, is_sklearn_clusterer, is_sklearn_regressor, is_sklearn_transformer
  from sktime.utils.validation._dependencies import _check_estimator_deps
label_desc: Use image node_id 22 for calling the BaseTransformer obj's underlying member method code with example usage: obj._inverse_transform(X, y) without return types