class_docstr: Base class for local black box explainers. This class extends :py:mod:``LocalBBExplainer``
  for local time series explanations. Such explainers generally are model agnostic and would
  require model's predict/forecast/scoring function.
docstr: Explain the prediction made by the time series model at a certain point in time
  (**local explanation**).
  
  Args
      ts (tsFrame): Input time series signal in ``tsFrame`` format. This can
          be generated using :py:mod:`aix360.algorithms.tsframe.tsFrame`.
          A ``tsFrame`` is a pandas ``DataFrame`` indexed by ``Timestamp`` objects
          (that is ``DatetimeIndex``). Each column corresponds to an input feature.
      ts_related (tsFrame, optional): The related time series ``tsFrame`` containing
          the external regressors. A ``tsFrame`` is a pandas ``DataFrame`` indexed by
          ``Timestamp`` objects (that is ``DatetimeIndex``). Each column corresponds to a
          related external regressor. Defaults to None.
      explain_params: Arbitrary explainer parameters.
  
  Returns:
      explanation (Union[List[Dict], Dict]): Returns a dict with explanation object.
code: def explain_instance(
      self, ts: tsFrame, ts_related: tsFrame = None, **explain_params
  ):
      """Explain the prediction made by the time series model at a certain point in time
      (**local explanation**).
  
      Args
          ts (tsFrame): Input time series signal in ``tsFrame`` format. This can
              be generated using :py:mod:`aix360.algorithms.tsframe.tsFrame`.
              A ``tsFrame`` is a pandas ``DataFrame`` indexed by ``Timestamp`` objects
              (that is ``DatetimeIndex``). Each column corresponds to an input feature.
          ts_related (tsFrame, optional): The related time series ``tsFrame`` containing
              the external regressors. A ``tsFrame`` is a pandas ``DataFrame`` indexed by
              ``Timestamp`` objects (that is ``DatetimeIndex``). Each column corresponds to a
              related external regressor. Defaults to None.
          explain_params: Arbitrary explainer parameters.
  
      Returns:
          explanation (Union[List[Dict], Dict]): Returns a dict with explanation object.
      """
  
      return self._explain_instance(
          ts=ts, ts_related=ts_related, **explain_params
      )
  
file_path: AIX360/aix360/algorithms/tslbbe.py
imports: import abc
  import numpy
  from aix360.algorithms.lbbe import LocalBBExplainer
  from aix360.algorithms.tsutils.tsframe import tsFrame
label_desc: Use image node_id 3 for calling the TSLocalBBExplainer obj's underlying member method code with example usage: obj.explain_instance(ts, ts_related) and returns: self