leaspy.algo.personalize.mean_posterior#
This module defines the MeanPosterior sampler based personalize algorithm.
Classes#
Sampler-based algorithm that derives individual parameters as the most frequent mean posterior value from n_iter samplings. |
Module Contents#
- class MeanPosteriorAlgorithm(settings)#
Bases:
leaspy.algo.personalize.mcmc.McmcPersonalizeAlgorithmSampler-based algorithm that derives individual parameters as the most frequent mean posterior value from n_iter samplings.
- Parameters:
- settings
AlgorithmSettings Settings of the algorithm.
- settings
- Parameters:
settings (AlgorithmSettings)
- name: AlgorithmName#