code: def _add_training_arguments(
      parser: argparse.ArgumentParser,
  ) -> argparse._ArgumentGroup:
      train_arguments = parser.add_argument_group("Train Arguments")
      rasa.cli.arguments.train.add_config_param(train_arguments)
      rasa.cli.arguments.default_arguments.add_domain_param(
          train_arguments
      )
      rasa.cli.arguments.train.add_out_param(
          train_arguments,
          help_text="Directory where your models should be stored.",
      )
      rasa.cli.arguments.train.add_augmentation_param(train_arguments)
      rasa.cli.arguments.train.add_debug_plots_param(train_arguments)
      rasa.cli.arguments.train.add_finetune_params(train_arguments)
      return train_arguments
  
file_path: rasa/rasa/cli/arguments/interactive.py
imports: import argparse
  import uuid
  import rasa.cli.arguments.default_arguments
  import rasa.cli.arguments.train
  import rasa.cli.arguments.run
label_desc: Use image node_id 4 for calling a global function with example usage: _add_training_arguments(parser) and returns: train_arguments