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
code: def __init__(self, parama, paramb="default", paramc=None):
      # todo: write any hyper-parameters to self
      self.parama = parama
      self.paramb = paramb
      self.paramc = paramc
  
      # leave this as is
      super().__init__()
  
imports: from sktime.transformations.base import BaseTransformer
label_desc: Use image node_id 1 to create a new MyTransformer object from inherited base classes: BaseTransformer with example: obj = MyTransformer(parama, paramb, paramc)