|
Formula Student Autonomous Systems
The code for the main driverless system
|
Go to the source code of this file.
Namespaces | |
| namespace | bayesian |
Functions | |
| bayesian.call_cpp_program (params) | |
| bayesian.objective_function (params) | |
| bayesian.update_top_5 (params, value) | |
| bayesian.export_top_5_to_file () | |
| bayesian.signal_handler (sig, frame) | |
Variables | |
| str | bayesian.algorithm_to_tune = "cone_coloring" |
| bayesian.base_dir = os.path.dirname(os.path.abspath(__file__)) | |
| bayesian.full_path = os.path.join(base_dir, algorithm_to_tune) | |
| bayesian.module = importlib.import_module("adapt") | |
| str | bayesian.executable_path = "./" + algorithm_to_tune + "/bayesian_opt" |
| str | bayesian.export_path = algorithm_to_tune + "/parameters_rank.txt" |
| list | bayesian.top_5 = [] |
| bayesian.best_value = float("inf") | |
| bayesian.best_params = module.parameters_list[0] | |
| bayesian.optimizer = Optimizer(module.param_space, "GP", n_initial_points=10, random_state=None) | |
| bayesian.result = objective_function(params) | |
| bayesian.next_params = optimizer.ask() | |
| bayesian.current_value = objective_function(next_params) | |