class_docstr: Handles incoming messages with low NLU confidence.
class_docstr_tok: ["Handles","incoming","messages","with","low","NLU","confidence","."]
docstr: Components that should be included in the pipeline before this component.
docstr_tok: ["Components","that","should","be","included","in","the","pipeline","before","this","component","."]
code: def required_components(cls) -> List[Type]:
      """Components that should be included in the pipeline before this component."""
      return [IntentClassifier]
  
imports: from __future__ import annotations
  import copy
  import logging
  from typing import Any, List, Text, Dict, Type, Union, Tuple, Optional
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DEFAULT_NLU_FALLBACK_INTENT_NAME
  from rasa.core.constants import DEFAULT_NLU_FALLBACK_THRESHOLD, DEFAULT_NLU_FALLBACK_AMBIGUITY_THRESHOLD
  from rasa.nlu.classifiers.classifier import IntentClassifier
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.constants import INTENT, INTENT_NAME_KEY, INTENT_RANKING_KEY, PREDICTED_CONFIDENCE_KEY
label_desc: Use image node_id 1 for calling the FallbackClassifier obj's underlying member method code with example usage: obj.required_components(cls) and returns: list