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

AutoRegressivePipeline
======================

.. currentmodule:: etna.pipeline

.. autoclass:: AutoRegressivePipeline

   
   

   
   
   
   

   

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

   

   
   

   

   
   .. rubric:: Attributes

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

   .. autosummary::