class_docstr: Custom time series distance/kernel. todo: write docstring.
  
  todo: describe your custom distance/kernel here
  
  Hyper-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
  
  Components
  ----------
  est : sktime.estimator, BaseEstimator descendant
      descriptive explanation of est
  est2: another estimator
      descriptive explanation of est2
  and so on
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code: def __init__(
      self, est, parama, est2=None, paramb="default", paramc=None
  ):
      # estimators should precede parameters
      #  if estimators have default values, set None and initialize below
  
      # todo: write any hyper-parameters and components to self
      self.est = est
      self.parama = parama
      self.paramb = paramb
      self.paramc = paramc
  
      # leave this as is
      super().__init__()
  
imports: from sktime.dists_kernels import BasePairwiseTransformerPanel
label_desc: Use image node_id 1 to create a new MyTrafoPwPanel object from inherited base classes: BasePairwiseTransformerPanel with example: obj = MyTrafoPwPanel(est, parama, est2, paramb, paramc)