selector.generators.lhs_point_generator

This module contains the latin hyper cube graph point generator.

Functions

`generate_space`(s)	Generate the sampling space for the Latin Hypercube (LHC) according to scenario parameters.
`get_n_points`(space, n_samples, seed, ...)	Generate n samples.
`lhc_points`(s, identity[, n_samples, seed, ...])	Generate configuration using the variable graph method.

Classes

`Criterion`(value)	Contains the criterions of optimization of LHS.
`LHSType`(value)	Contains the types of LHS.

class selector.generators.lhs_point_generator.Criterion(value)[source]

Bases: Enum

Contains the criterions of optimization of LHS.

correlation = 1

maximin = 2

ratio = 3

class selector.generators.lhs_point_generator.LHSType(value)[source]

Bases: Enum

Contains the types of LHS.

centered = 2

classic = 1

selector.generators.lhs_point_generator.generate_space(s)[source]

Generate the sampling space for the Latin Hypercube (LHC) according to scenario parameters.

Parameters:: s (selector.scenario.Scenario) – AC scenario.
Returns:: Latin Hypercube space.
Return type:: skopt.Space object

selector.generators.lhs_point_generator.get_n_points(space, n_samples, seed, lhs_type, criterion)[source]

Generate n samples.

Parameters:

space (skopt.Space object) – Sampling space for the Latin Hypercube (LHC).
n_samples (int) – Number of samples to generate.
seed (int) – Random seed; will be set if not False.
lhs_type – Sampling type parameter for skopt.sampler.Lhs.
criterion – Optimization criterion for skopt.sampler.Lhs.

Returns:

Generated n samples.

Return type:

list of dict

selector.generators.lhs_point_generator.lhc_points(s, identity, n_samples=1, seed=False, lhs_type=LHSType.classic, criterion=None)[source]

Generate configuration using the variable graph method.

Parameters:

s (selector.scenario.Scenario) – AC scenario.
identity (uuid.UUID) – This UUID is just a placeholder.
n_samples (int) – Number of picks from the parameter space.
seed (int) – Random seed.
lhs_type (selector.generators.lhs_point_generator.LHSType) – Type of LHC sampling.
criterion (selector.generators.lhs_point_generator.Criterion) – Criterions of LHC optimizatio.

Returns:

List of generated configurations.

Return type:

list of selector.pool.Configuration