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_arguments(parser: argparse.ArgumentParser): add_model_param(parser) add_config_param(parser) add_domain_param(parser) add_data_param(parser) add_out_param(parser) add_force_param(parser) add_skip_visualization_param(parser) add_server_arguments(parser)
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)