smac.initial_design

Interfaces

class smac.initial_design.AbstractInitialDesign(scenario, n_configs=None, n_configs_per_hyperparameter=10, max_ratio=0.1, additional_configs=[], seed=None)

Bases: object

Base class for initial design strategies that evaluates multiple configurations.

Parameters:

• scenario (Scenario) –

• n_configs (int | None, defaults to None) – Number of initial configurations (disables the arguments n_configs_per_hyperparameter).

• n_configs_per_hyperparameter (int, defaults to 10) – Number of initial configurations per hyperparameter. For example, if my configuration space covers five hyperparameters and n_configs_per_hyperparameter is set to 10, then 50 initial configurations will be samples.

• max_ratio (float, defaults to 0.1) – Use at most scenario.n_trials * max_ratio number of configurations in the initial design. Additional configurations are not affected by this parameter.

• additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

• seed (int | None, default to None) –

property meta: dict[str, Any]

Returns the meta data of the created object.

Return type:

dict[str, Any]

select_configurations()

Selects the initial configurations. Internally, _select_configurations is called, which has to be implemented by the child class.

Returns:

configs – Configurations from the child class.

Return type:

list[Configuration]

class smac.initial_design.DefaultInitialDesign(scenario, n_configs=None, n_configs_per_hyperparameter=10, max_ratio=0.1, additional_configs=[], seed=None)

Bases: AbstractInitialDesign

Initial design that evaluates only the default configuration.

class smac.initial_design.FactorialInitialDesign(scenario, n_configs=None, n_configs_per_hyperparameter=10, max_ratio=0.1, additional_configs=[], seed=None)

Bases: AbstractInitialDesign

Factorial initial design to select corner and middle configurations.

class smac.initial_design.LatinHypercubeInitialDesign(scenario, n_configs=None, n_configs_per_hyperparameter=10, max_ratio=0.1, additional_configs=[], seed=None)

Bases: AbstractInitialDesign

Latin Hypercube design.

class smac.initial_design.RandomInitialDesign(scenario, n_configs=None, n_configs_per_hyperparameter=10, max_ratio=0.1, additional_configs=[], seed=None)

Bases: AbstractInitialDesign

Initial design that evaluates random configurations.

class smac.initial_design.SobolInitialDesign(*args, **kwargs)

Bases: AbstractInitialDesign

Sobol sequence design with a scrambled Sobol sequence. See https://scipy.github.io/devdocs/reference/generated/scipy.stats.qmc.Sobol.html for further information.

Modules

smac.initial_design.abstract_initial_design
smac.initial_design.default_design
smac.initial_design.factorial_design
smac.initial_design.latin_hypercube_design
smac.initial_design.random_design
smac.initial_design.sobol_design

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