8.1.1.3.1.2. skimpy.inference.parameters

8.1.1.3.1.2.1. Attributes

EPSILON

8.1.1.3.1.2.2. Classes

SecureMultivariateNormal
LogNormalPriorParameterDistribution	TF Based model
PosteriorLogNormalParameterPopulation
PosteriorNormalParameterPopulation

8.1.1.3.1.2.3. Module Contents

skimpy.inference.parameters.EPSILON = 1e-09

class skimpy.inference.parameters.SecureMultivariateNormal(mu, sigma, var)

Bases: object

variable_parameters

constant_parameters

mu

variable_index

const_index

_dist

rvs(size, random_state=None)

class skimpy.inference.parameters.LogNormalPriorParameterDistribution

TF Based model

class skimpy.inference.parameters.PosteriorLogNormalParameterPopulation(parameter_poulations, likelyhoods=None)

Bases: object

mu = []

sigma = []

pdf = []

cum_weights

resample(N, seed=None)

class skimpy.inference.parameters.PosteriorNormalParameterPopulation(parameter_poulations, likelyhoods=None)

Bases: object

mu = []

sigma = []

pdf = []

cum_weights

resample(N, seed=None)