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This is unreleased documentation for Rasa Documentation Main/Unreleased version.
For the latest released documentation, see the latest version (3.x).

Version: Main/Unreleased

rasa.cli.arguments.train

set_train_arguments

def set_train_arguments(parser: argparse.ArgumentParser) -> None

Specifies CLI arguments for rasa train.

set_train_core_arguments

def set_train_core_arguments(parser: argparse.ArgumentParser) -> None

Specifies CLI arguments for rasa train core.

set_train_nlu_arguments

def set_train_nlu_arguments(parser: argparse.ArgumentParser) -> None

Specifies CLI arguments for rasa train nlu.

add_force_param

def add_force_param(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Specifies if the model should be trained from scratch.

add_data_param

def add_data_param(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Specifies path to training data.

add_dry_run_param

def add_dry_run_param(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Adds --dry-run argument to a specified parser.

Arguments:

  • parser - An instance of ArgumentParser or _ActionsContainer.

add_validate_before_train

def add_validate_before_train(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Adds parameters for validating the domain and data files before training.

Arguments:

  • parser - An instance of ArgumentParser or _ActionsContainer.

add_augmentation_param

def add_augmentation_param(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Sets the augmentation factor for the Core training.

Arguments:

  • parser - An instance of ArgumentParser or _ActionsContainer.

add_debug_plots_param

def add_debug_plots_param(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Specifies if conversation flow should be visualized.

add_persist_nlu_data_param

def add_persist_nlu_data_param(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Adds parameters for persisting the NLU training data with the model.

add_finetune_params

def add_finetune_params(
parser: Union[argparse.ArgumentParser,
argparse._ActionsContainer]) -> None

Adds parameters for model finetuning.