Version: 3.x
rasa.model
get_local_model
def get_local_model(model_path: Text = DEFAULT_MODELS_PATH) -> Text
Returns verified path to local model archive.
Arguments:
model_path- Path to the zipped model. If it's a directory, the latest trained model is returned.
Returns:
Path to the zipped model. If it's a directory, the latest trained model is returned.
Raises:
ModelNotFound Exception: When no model could be found at the provided path.
get_latest_model
def get_latest_model(model_path: Text = DEFAULT_MODELS_PATH) -> Optional[Text]
Get the latest model from a path.
Arguments:
model_path- Path to a directory containing zipped models.
Returns:
Path to latest model in the given directory.
get_model_for_finetuning
def get_model_for_finetuning(
previous_model_file_or_dir: Union[Path, Text]) -> Optional[Path]
Gets validated path for model to finetune.
Arguments:
previous_model_file- Path to model file which should be used for finetuning or a directory in case the latest trained model should be used.
Returns:
Path to model archive. None if there is no model.
project_fingerprint
def project_fingerprint() -> Optional[Text]
Create a hash for the project in the current working directory.
Returns:
project hash