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
