class_docstr: A SingleStateFeaturizer for use with policies that predict intent labels.
class_docstr_tok: ["A","SingleStateFeaturizer","for","use","with","policies","that","predict","intent","labels","."]
docstr: Encodes all relevant labels from the domain using the given precomputations.
  
  Args:
      domain: The domain that contains the labels.
      precomputations: Contains precomputed features and attributes.
  
  Returns:
      A list of encoded labels.
docstr_tok: ["Encodes","all","relevant","labels","from","the","domain","using","the","given","precomputations",".","Args",":","domain",":","The","domain","that","contains","the","labels",".","precomputations",":","Contains","precomputed","features","and","attributes",".","Returns",":","A","list","of","encoded","labels","."]
code: def encode_all_labels(
      self,
      domain: Domain,
      precomputations: Optional[MessageContainerForCoreFeaturization],
  ) -> List[Dict[Text, List[Features]]]:
      """Encodes all relevant labels from the domain using the given precomputations.
  
      Args:
          domain: The domain that contains the labels.
          precomputations: Contains precomputed features and attributes.
  
      Returns:
          A list of encoded labels.
      """
      return [
          self._encode_intent(intent, precomputations)
          for intent in domain.intents
      ]
  
imports: import logging
  import numpy
  import scipy.sparse
  from typing import List, Optional, Dict, Text, Set, Any
  from rasa.core.featurizers.precomputation import MessageContainerForCoreFeaturization
  from rasa.nlu.extractors.extractor import EntityTagSpec
  from rasa.nlu.utils import bilou_utils
  from rasa.nlu.utils.bilou_utils import BILOU_PREFIXES
  from rasa.shared.core.domain import SubState, State, Domain
  from rasa.shared.core.constants import PREVIOUS_ACTION, ACTIVE_LOOP, USER, SLOTS
  from rasa.shared.core.trackers import is_prev_action_listen_in_state
  from rasa.shared.nlu.constants import ENTITIES, FEATURE_TYPE_SENTENCE, ACTION_TEXT, ACTION_NAME, INTENT, NO_ENTITY_TAG, ENTITY_ATTRIBUTE_TYPE, ENTITY_TAGS, TEXT
  from rasa.shared.nlu.training_data.features import Features
  from rasa.utils.tensorflow import model_data_utils
label_desc: Use image node_id 2 for calling the IntentTokenizerSingleStateFeaturizer obj's underlying member method code with example usage: obj.encode_all_labels(domain, precomputations) and returns: unknown