leaspy.algo.personalize.mode_posterior
======================================

.. py:module:: leaspy.algo.personalize.mode_posterior

.. autoapi-nested-parse::

   This module defines the `ModePosterior` sampler based personalize algorithm.

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Classes
-------

.. autoapisummary::

   leaspy.algo.personalize.mode_posterior.ModePosteriorAlgorithm


Module Contents
---------------

.. py:class:: ModePosteriorAlgorithm(settings)

   Bases: :py:obj:`leaspy.algo.personalize.mcmc.McmcPersonalizeAlgorithm`


   
   Sampler-based algorithm that derives individual parameters as the most frequent mode posterior value from `n_iter` samplings.

   TODO? we could derive some confidence intervals on individual parameters thanks to this personalization algorithm...

   :Parameters:

       **settings** : :class:`.AlgorithmSettings`
           Settings of the algorithm.














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   .. py:attribute:: name
      :type:  leaspy.algo.base.AlgorithmName


   .. py:attribute:: regularity_factor
      :type:  float
      :value: 1.0


      
      Weighting of regularity term in the final loss to be minimized.
















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