leaspy.algo.personalize.mean_posterior

This module defines the MeanPosterior sampler based personalize algorithm.

Classes

MeanPosteriorAlgorithm

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.McmcPersonalizeAlgorithm

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

Parameters:

settingsAlgorithmSettings

Settings of the algorithm.

Parameters:

settings (AlgorithmSettings)

name: AlgorithmName