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

etna.models.nn.deepstate.LevelTrendSSM
======================================

.. currentmodule:: etna.models.nn.deepstate

.. autoclass:: LevelTrendSSM

   
   

   
   
   
   

   

   
   .. rubric:: Methods
   .. autosummary::
   
      ~LevelTrendSSM.emission_coeff
   
      ~LevelTrendSSM.generate_datetime_index
   
      ~LevelTrendSSM.innovation_coeff
   
      ~LevelTrendSSM.latent_dim
   
      ~LevelTrendSSM.set_params
   
      ~LevelTrendSSM.to_dict
   
      ~LevelTrendSSM.transition_coeff
   
   

   

   
   

   

   
   .. rubric:: Attributes

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

   .. autosummary::