Version: 3.x

rasa.core.featurizers.single_state_featurizer

SingleStateFeaturizer Objects

class SingleStateFeaturizer()

Base class to transform the dialogue state into an ML format.

Subclasses of SingleStateFeaturizer will decide how a bot will transform the dialogue state into a dictionary mapping an attribute to its features. Possible attributes are: INTENT, TEXT, ACTION_NAME, ACTION_TEXT, ENTITIES, SLOTS and ACTIVE_LOOP. Each attribute will be featurized into a list of rasa.utils.features.Features.

__init__

def __init__() -> None

Initialize the single state featurizer.

prepare_for_training

def prepare_for_training(domain: Domain, bilou_tagging: bool = False) -> None

Gets necessary information for featurization from domain.

Arguments:

  • domain - An instance of :class:rasa.shared.core.domain.Domain.
  • bilou_tagging - indicates whether BILOU tagging should be used or not

encode_state

def encode_state(
state: State,
precomputations: Optional[MessageContainerForCoreFeaturization]
) -> Dict[Text, List[Features]]

Encode the given state.

Arguments:

  • state - The state to encode
  • precomputations - Contains precomputed features and attributes.

Returns:

A dictionary of state_type to list of features.

encode_entities

def encode_entities(
entity_data: Dict[Text, Any],
precomputations: Optional[MessageContainerForCoreFeaturization],
bilou_tagging: bool = False) -> Dict[Text, List[Features]]

Encode the given entity data.

Produce numeric entity tags for tokens.

Arguments:

  • entity_data - The dict containing the text and entity labels and locations
  • precomputations - Contains precomputed features and attributes.
  • bilou_tagging - indicates whether BILOU tagging should be used or not

Returns:

A dictionary of entity type to list of features.

encode_all_labels

def encode_all_labels(
domain: Domain,
precomputations: Optional[MessageContainerForCoreFeaturization]
) -> List[Dict[Text, List[Features]]]

Encode all action from the domain.

Arguments:

  • domain - The domain that contains the actions.
  • precomputations - Contains precomputed features and attributes.

Returns:

A list of encoded actions.

IntentTokenizerSingleStateFeaturizer Objects

class IntentTokenizerSingleStateFeaturizer(SingleStateFeaturizer)

A SingleStateFeaturizer for use with policies that predict intent labels.

encode_all_labels

def encode_all_labels(
domain: Domain,
precomputations: Optional[MessageContainerForCoreFeaturization]
) -> List[Dict[Text, List[Features]]]

Encodes all relevant labels from the domain using the given precomputations.

Arguments:

  • domain - The domain that contains the labels.
  • precomputations - Contains precomputed features and attributes.

Returns:

A list of encoded labels.