def add_subparser(subparsers: argparse._SubParsersAction,
parents: List[argparse.ArgumentParser]):
import rasa.core.cli.train as core_cli
train_parser = subparsers.add_parser(
"train", help="Train the Rasa bot")
train_subparsers = train_parser.add_subparsers()
train_core_parser = train_subparsers.add_parser(
"core",
conflict_handler="resolve",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Train Rasa Core")
train_core_parser.set_defaults(func=train_core)
train_nlu_parser = train_subparsers.add_parser(
"nlu",
parents=parents,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
help="Train Rasa NLU")
train_nlu_parser.set_defaults(func=train_nlu)
for p in [train_parser, train_core_parser, train_nlu_parser]:
add_general_arguments(p)
for p in [train_core_parser, train_parser]:
add_domain_param(p)
core_cli.add_general_args(p)
add_stories_param(train_core_parser)
_add_core_compare_arguments(train_core_parser)
add_nlu_data_param(train_nlu_parser)
add_joint_parser_arguments(train_parser)
train_parser.set_defaults(func=train)
def _add_split_args(parser: argparse.ArgumentParser) -> None:
add_nlu_data_param(parser)
parser.add_argument("--training_fraction",
type=float,
default=0.8,
help="Percentage of the data which should be the "
"training data")
parser.add_argument("-o",
"--out",
type=str,
default="train_test_split",
help="Directory where the split files should be "
"stored")