class_docstr: Adapter for tensorflow-probability distributions.
code: def __init__(self, index=None, columns=None, distr=None):
      self.distr = distr
  
      super().__init__(index=index, columns=columns)
  
imports: from warnings import warn
  import numpy
  import pandas
  from sktime.base import BaseObject
  from sktime.utils.pandas import df_map
  from sktime.utils.validation._dependencies import _check_estimator_deps
label_desc: Use image node_id 1 to create a new _BaseTFDistribution object from inherited base classes: BaseDistribution with example: obj = _BaseTFDistribution(index, columns, distr)