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

MedianOutliersTransform
=======================

.. currentmodule:: etna.transforms

.. autoclass:: MedianOutliersTransform

   
   

   
   
   
   

   

   
   .. rubric:: Methods
   .. autosummary::
   
      ~MedianOutliersTransform.detect_outliers
   
      ~MedianOutliersTransform.fit
   
      ~MedianOutliersTransform.fit_transform
   
      ~MedianOutliersTransform.get_regressors_info
   
      ~MedianOutliersTransform.inverse_transform
   
      ~MedianOutliersTransform.load
   
      ~MedianOutliersTransform.params_to_tune
   
      ~MedianOutliersTransform.save
   
      ~MedianOutliersTransform.set_params
   
      ~MedianOutliersTransform.to_dict
   
      ~MedianOutliersTransform.transform
   
   

   

   
   

   

   
   .. rubric:: Attributes

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

   .. autosummary::