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

Bases: object

variable_parameters[source]
constant_parameters[source]
mu[source]
variable_index[source]
const_index[source]
_dist[source]
rvs(size, random_state=None)[source]
class skimpy.inference.parameters.LogNormalPriorParameterDistribution[source]

TF Based model

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

Bases: object

mu = [][source]
sigma = [][source]
pdf = [][source]
cum_weights[source]
resample(N, seed=None)[source]
class skimpy.inference.parameters.PosteriorNormalParameterPopulation(parameter_poulations, likelyhoods=None)[source]

Bases: object

mu = [][source]
sigma = [][source]
pdf = [][source]
cum_weights[source]
resample(N, seed=None)[source]