.. Template is based on github.com/jdb78/pytorch-forecasting/tree/v0.9.2/docs/source under MIT License

etna.experimental.prediction\_intervals.ConformalPredictionIntervals
====================================================================

.. currentmodule:: etna.experimental.prediction_intervals

.. autoclass:: ConformalPredictionIntervals

   
   

   
   
   
   

   

   
   .. rubric:: Methods
   .. autosummary::
   
      ~ConformalPredictionIntervals.backtest
   
      ~ConformalPredictionIntervals.fit
   
      ~ConformalPredictionIntervals.forecast
   
      ~ConformalPredictionIntervals.get_historical_forecasts
   
      ~ConformalPredictionIntervals.load
   
      ~ConformalPredictionIntervals.params_to_tune
   
      ~ConformalPredictionIntervals.predict
   
      ~ConformalPredictionIntervals.save
   
      ~ConformalPredictionIntervals.set_params
   
      ~ConformalPredictionIntervals.to_dict
   
   

   

   
   

   
   
   
   
   

   
   .. rubric:: Attributes

   
   This class stores its :code:`__init__` parameters as attributes.
   

   .. autosummary::
   
      ~ConformalPredictionIntervals.ts