pastas.modelstats.Statistics
============================

.. toctree::
   :hidden:

   /api/pastas/modelstats/Statistics.rmse
   /api/pastas/modelstats/Statistics.rmsn
   /api/pastas/modelstats/Statistics.sse
   /api/pastas/modelstats/Statistics.mae
   /api/pastas/modelstats/Statistics.me
   /api/pastas/modelstats/Statistics.nse
   /api/pastas/modelstats/Statistics.nnse
   /api/pastas/modelstats/Statistics.pearsonr
   /api/pastas/modelstats/Statistics.evp
   /api/pastas/modelstats/Statistics.rsq
   /api/pastas/modelstats/Statistics.kge
   /api/pastas/modelstats/Statistics.kge_2012
   /api/pastas/modelstats/Statistics.bic
   /api/pastas/modelstats/Statistics.aic
   /api/pastas/modelstats/Statistics.aicc
   /api/pastas/modelstats/Statistics.summary
   /api/pastas/modelstats/Statistics.diagnostics

.. py:class:: pastas.modelstats.Statistics(ml: pastas.typing.Model)

   
   This class provides statistics to pastas Model class.

   :param ml: ml is a time series Model that is calibrated.
   :type ml: Pastas.model.Model

   .. rubric:: Notes

   To obtain a list of all statistics that are included type:

   >>> print(ml.stats.ops)















   ..
       !! processed by numpydoc !!
Methods
-------

.. autoapisummary::

   pastas.modelstats.Statistics.rmse
   pastas.modelstats.Statistics.rmsn
   pastas.modelstats.Statistics.sse
   pastas.modelstats.Statistics.mae
   pastas.modelstats.Statistics.me
   pastas.modelstats.Statistics.nse
   pastas.modelstats.Statistics.nnse
   pastas.modelstats.Statistics.pearsonr
   pastas.modelstats.Statistics.evp
   pastas.modelstats.Statistics.rsq
   pastas.modelstats.Statistics.kge
   pastas.modelstats.Statistics.kge_2012
   pastas.modelstats.Statistics.bic
   pastas.modelstats.Statistics.aic
   pastas.modelstats.Statistics.aicc
   pastas.modelstats.Statistics.summary
   pastas.modelstats.Statistics.diagnostics