csle_agents.agents.bayesian_optimization_emukit.bo package

Subpackages

Submodules

csle_agents.agents.bayesian_optimization_emukit.bo.bo_config module

class csle_agents.agents.bayesian_optimization_emukit.bo.bo_config.BOConfig(X_init: numpy.ndarray[Any, numpy.dtype[Any]], Y_init: numpy.ndarray[Any, numpy.dtype[Any]], input_space: emukit.core.parameter_space.ParameterSpace, evaluation_budget: int, gp_config: csle_agents.agents.bayesian_optimization_emukit.bo.gp.gp_config.GPConfig, acquisition_function_type: csle_agents.agents.bayesian_optimization_emukit.bo.acquisition.acquisition_function_type.AcquisitionFunctionType, acquisition_optimizer_type: csle_agents.agents.bayesian_optimization_emukit.bo.acquisition.acquisition_optimizer_type.AcquisitionOptimizerType, objective_type: csle_agents.common.objective_type.ObjectiveType, beta: float = 1)[source]

Bases: object

DTO representing the configuration of a Bayesian Optimization execution

static from_dict(d: Dict[str, Any]) → csle_agents.agents.bayesian_optimization_emukit.bo.bo_config.BOConfig[source]

Converts a dict representation to an instance

Parameters

d – the dict to convert

Returns

the created instance

static from_json_file(json_file_path: str) → csle_agents.agents.bayesian_optimization_emukit.bo.bo_config.BOConfig[source]

Reads a json file and converts it to a DTO

Parameters

json_file_path – the json file path

Returns

the converted DTO

get_acquisition_function(surrogate_model: emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper) → emukit.core.acquisition.acquisition.Acquisition[source]

Gets the acquisition function for the configuration

Parameters

surrogate_model – the surrogate model to use for the acquisition

Returns

the acquisition function (from the emukit library)

get_acquisition_optimizer() → emukit.core.optimization.acquisition_optimizer.AcquisitionOptimizerBase[source]

Gets the acquisition function optimizer for the given configuration

Returns

the optimizer (from the emukit library)

to_dict() → Dict[str, Any][source]

Gets a dict representation of the object

Returns

A dict representation of the object

csle_agents.agents.bayesian_optimization_emukit.bo.bo_results module

class csle_agents.agents.bayesian_optimization_emukit.bo.bo_results.BOResults(remaining_budget: float)[source]

Bases: object

DTO representing the state and results of an execution of Bayesian Optimization

copy() → csle_agents.agents.bayesian_optimization_emukit.bo.bo_results.BOResults[source]
Returns

a copy of the DTO

static from_dict(d: Dict[str, Any]) → csle_agents.agents.bayesian_optimization_emukit.bo.bo_results.BOResults[source]

Converts a dict representation to an instance

Parameters

d – the dict to convert

Returns

the created instance

static from_json_file(json_file_path: str) → csle_agents.agents.bayesian_optimization_emukit.bo.bo_results.BOResults[source]

Reads a json file and converts it into a dto

Parameters

json_file_path – the json file path to load the DTO from

Returns

the loaded DTO

static from_json_str(json_str: str) → csle_agents.agents.bayesian_optimization_emukit.bo.bo_results.BOResults[source]

Converts json string into a DTO

Parameters

json_str – the json string representation

Returns

the DTO instance

to_dict() → Dict[str, Any][source]
Returns

a dict representation of the object

to_json_file(json_file_path: str) → None[source]

Saves the DTO to a json file

Parameters

json_file_path – the json file path to save the DTO to

Returns

None

to_json_str() → str[source]

Converts the DTO into a json string :return: the json string representation of the DTO

Module contents