Version: 3.x
rasa.engine.recipes.graph_recipe
GraphV1Recipe Objects
class GraphV1Recipe(Recipe)
Recipe which converts the graph model config to train and predict graph.
get_targets
def get_targets(config: Dict, training_type: TrainingType) -> Tuple[Text, Any]
Return NLU and core targets from config dictionary.
Note that default recipe has nlu_target and core_target as
fixed values of run_RegexMessageHandler and select_prediction
respectively. For graph recipe, target values are customizable. These
can be used in validation (default recipe does this validation check)
and during execution (all recipes use targets during execution).
graph_config_for_recipe
def graph_config_for_recipe(
config: Dict,
cli_parameters: Dict[Text, Any],
training_type: TrainingType = TrainingType.BOTH,
is_finetuning: bool = False) -> GraphModelConfiguration
Converts the default config to graphs (see interface for full docstring).