ultraopt.optimizer package

Subpackages

• ultraopt.optimizer.bo package
  • Submodules
  • ultraopt.optimizer.bo.config_evaluator module
  • ultraopt.optimizer.bo.etpe_opt module
  • ultraopt.optimizer.bo.sampling_sort_opt module
  • ultraopt.optimizer.bo.tree_based_opt module
  • Module contents

Submodules

ultraopt.optimizer.base_opt module

class ultraopt.optimizer.base_opt.BaseOptimizer

基类：object

ask(budget=1, n_points=None, strategy='cl_min') → Union[List[Tuple[dict, dict]], Tuple[dict, dict]]

get_available_max_budget()

get_config(budget) → Tuple[dict, dict]

classmethod get_initial_budget2obvs(budgets)

initialize(config_space, budgets=1, random_state=42, initial_points=None, budget2obvs=None)

is_config_exist(budget, config: ConfigSpace.configuration_space.Configuration)

new_result(job: ultraopt.structure.Job, update_model=True)

pick_random_initial_config(budget, max_sample=1000, origin='Initial Design')

process_all_configs_exist(info_dict, budget)

process_config_info_pair(config: ConfigSpace.configuration_space.Configuration, info_dict: dict, budget)

register_config(config, budget, start_time=None)

reset_time()

resume_time()

tell(config: Union[dict, ConfigSpace.configuration_space.Configuration], loss: float, budget: float = 1, update_model=True)

ultraopt.optimizer.base_opt.runId_info()

ultraopt.optimizer.random_opt module

class ultraopt.optimizer.random_opt.RandomOptimizer

基类：ultraopt.optimizer.base_opt.BaseOptimizer

get_available_max_budget()

Module contents