class_docstr: Transformer base class.
class_docstr_tok: ["Transformer","base","class","."]
code: def __init__(self):
      self._converter_store_X = (
          dict()
      )  # storage dictionary for in/output conversion
  
      super().__init__()
      _check_estimator_deps(self)
  
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 1 to create a new BaseTransformer object from inherited base classes: BaseEstimator with example: obj = BaseTransformer()