def _add_training_arguments(
parser: argparse.ArgumentParser) -> argparse._ArgumentGroup:
train_arguments = parser.add_argument_group("Train Arguments")
add_config_param(train_arguments)
add_domain_param(train_arguments)
add_out_param(train_arguments,
help_text="Directory where your models should be stored.")
add_augmentation_param(train_arguments)
add_debug_plots_param(train_arguments)
return train_arguments
def set_interactive_core_arguments(parser: argparse.ArgumentParser):
add_model_param(parser)
add_config_param(parser)
add_domain_param(parser)
add_stories_param(parser)
add_out_param(parser)
add_augmentation_param(parser)
add_debug_plots_param(parser)
add_dump_stories_param(parser)
add_skip_visualization_param(parser)
add_server_arguments(parser)
def set_interactive_core_arguments(parser: argparse.ArgumentParser):
add_model_param(parser, model_name="Rasa Core", default=None)
add_stories_param(parser)
add_skip_visualization_param(parser)
add_endpoint_param(
parser,
help_text=
"Configuration file for the model server and the connectors as a yml file.",
)
train_arguments = parser.add_argument_group("Train Arguments")
add_config_param(train_arguments)
add_domain_param(train_arguments)
add_out_param(train_arguments)
add_augmentation_param(train_arguments)
add_debug_plots_param(train_arguments)
add_dump_stories_param(train_arguments)
def set_interactive_arguments(parser: argparse.ArgumentParser):
add_model_param(parser, default=None)
add_data_param(parser)
add_skip_visualization_param(parser)
add_endpoint_param(
parser,
help_text=
"Configuration file for the model server and the connectors as a yml file.",
)
train_arguments = parser.add_argument_group("Train Arguments")
add_config_param(train_arguments)
add_domain_param(train_arguments)
add_out_param(train_arguments,
help_text="Directory where your models should be stored.")
add_augmentation_param(train_arguments)
add_debug_plots_param(train_arguments)
add_dump_stories_param(train_arguments)
add_force_param(train_arguments)
