pastas.model.Model.add_noisemodel
=================================

.. py:method:: pastas.model.Model.add_noisemodel(noisemodel: pastas.typing.NoiseModel) -> None

   
   Adds a noisemodel to the time series Model.

   :param noisemodel: Instance of NoiseModelBase.
   :type noisemodel: pastas.noisemodels.NoiseModelBase

   .. rubric:: Examples

   >>> n = ps.ArNoiseModel()
   >>> ml.add_noisemodel(n)

   .. rubric:: Notes

   As of Pastas version 1.5.0, a noisemodel should be added to the model using this
   method, and is not added by default anymore when constructing as Pastas Model.
   If a noisemodel is present, it will always be used during optimization.















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