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

etna.experimental.prediction\_intervals.NaiveVariancePredictionIntervals
========================================================================

.. currentmodule:: etna.experimental.prediction_intervals

.. autoclass:: NaiveVariancePredictionIntervals

   
   

   
   
   
   

   

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

   

   
   

   
   
   
   
   

   
   .. rubric:: Attributes

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

   .. autosummary::
   
      ~NaiveVariancePredictionIntervals.ts