leaspy.algo.personalize.mode_posterior

This module defines the ModePosterior sampler based personalize algorithm.

Classes

ModePosteriorAlgorithm

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

Module Contents

class ModePosteriorAlgorithm(settings)

Bases: 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:

settingsAlgorithmSettings

Settings of the algorithm.

Parameters:

settings (AlgorithmSettings)

name: AlgorithmName

regularity_factor: float = 1.0

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