rasa.cli.train

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add_subparser #

add\_subparser(subparsers: SubParsersAction, parents: List[argparse.ArgumentParser])->None

Add all training parsers.

Arguments:

• subparsers - subparser we are going to attach to
• parents - Parent parsers, needed to ensure tree structure in argparse

run_training #

run\_training(args: argparse.Namespace, can\_exit:bool=False)-> Optional[Text]

Trains a model.

Arguments:

• args - Namespace arguments.
• can_exit - If True, the operation can send sys.exit in the case training was not successful.

Returns:

Path to a trained model or None if training was not successful.

run_core_training #

run\_core\_training(args: argparse.Namespace, train\_path: Optional[Text]=None)-> Optional[Text]

Trains a Rasa Core model only.

Arguments:

• args - Command-line arguments to configure training.
• train_path - Path where trained model but not unzipped model should be stored.

Returns:

Path to a trained model or None if training was not successful.

run_nlu_training #

run\_nlu\_training(args: argparse.Namespace, train\_path: Optional[Text]=None)-> Optional[Text]

Trains an NLU model.

Arguments:

• args - Namespace arguments.
• train_path - Directory where models should be stored.

Returns:

Path to a trained model or None if training was not successful.