def build_parser_from(cls): """ :meta private: """ parser = argparse.ArgumentParser(conflict_handler="resolve") # add the arguments of a specific search add_arguments_from_signature(parser, cls) # add argument of Search.search interface parser.add_argument( "--max-evals", default=-1, type=int, help="Type[int]. Defaults to '-1' when an number of evaluations is not imposed.", ) parser.add_argument( "--timeout", default=None, type=int, help="Type[int]. Number of seconds before killing the search. Defaults to 'None' when a time budget is not imposed.", ) # add arguments for evaluators evaluator_added_arguments = add_arguments_from_signature(parser, Evaluator) for eval_name, eval_cls in EVALUATORS.items(): eval_cls = load_attr(f"deephyper.evaluator.{eval_cls}") add_arguments_from_signature( parser, eval_cls, prefix=eval_name, exclude=evaluator_added_arguments ) return parser
def _extend_parser(parser): add_arguments_from_signature(parser, NeuralArchitectureSearch) return parser
def _extend_parser(parser): RegularizedEvolution._extend_parser(parser) add_arguments_from_signature(parser, AgEBO) return parser
def _extend_parser(parser): ReinforcementLearningSearch._extend_parser(parser) add_arguments_from_signature(parser, Ppo) return parser
def _extend_parser(parser): NeuralArchitectureSearch._extend_parser(parser) add_arguments_from_signature(parser, AMBSMixed) return parser
def _extend_parser(parser): NeuralArchitectureSearch._extend_parser(parser) add_arguments_from_signature(parser, RegularizedEvolution) return parser
def _extend_parser(parser): NeuralArchitectureSearch._extend_parser(parser) add_arguments_from_signature(parser, BoHpoNas) return parser