class_docstr: Custom transformer. todo: write docstring.
  
  todo: describe your custom transformer here
      fill in sections appropriately
      docstring must be numpydoc compliant
  
  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
docstr: Transform X and return a transformed version.
  
  private _transform containing core logic, called from transform
  
  Parameters
  ----------
  X : pd.DataFrame
      if self.get_tag("univariate-only")==True:
          guaranteed to have a single column
      if self.get_tag("univariate-only")==False: no restrictions apply
  y : None, present only for interface compatibility
  
  Returns
  -------
  transformed version of X
docstr_tok: ["Transform","X","and","return","a","transformed","version",".","private","_transform","containing","core","logic",",","called","from","transform","Parameters","--","--","--","--","--","X",":","pd.DataFrame","if","self.get_tag","(","``","univariate-only","''",")","==True",":","guaranteed","to","have","a","single","column","if","self.get_tag","(","``","univariate-only","''",")","==False",":","no","restrictions","apply","y",":","None",",","present","only","for","interface","compatibility","Returns","--","--","--","-","transformed","version","of","X"]
code: def _transform(self, X, y=None):
      """Transform X and return a transformed version.
  
      private _transform containing core logic, called from transform
  
      Parameters
      ----------
      X : pd.DataFrame
          if self.get_tag("univariate-only")==True:
              guaranteed to have a single column
          if self.get_tag("univariate-only")==False: no restrictions apply
      y : None, present only for interface compatibility
  
      Returns
      -------
      transformed version of X
      """
  
imports: from sktime.transformations.base import BaseTransformer
label_desc: Use image node_id 3 for calling the MyTransformer obj's underlying member method code with example usage: obj._transform(X, y) without return types