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)[source]¶
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¶