class_docstr: Intent classifier which uses the `mitie` library.
class_docstr_tok: ["Intent","classifier","which","uses","the","`","mitie","`","library","."]
docstr: Returns default config (see parent class for full docstring).
docstr_tok: ["Returns","default","config","(","see","parent","class","for","full","docstring",")","."]
code: def get_default_config() -> Dict[Text, Any]:
      """Returns default config (see parent class for full docstring)."""
      return {"num_threads": 1}
  
imports: from __future__ import annotations
  import logging
  from rasa.nlu.featurizers.featurizer import Featurizer
  import typing
  from typing import Any, Dict, List, Optional, Text, Type
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.classifiers.classifier import IntentClassifier
  from rasa.nlu.utils.mitie_utils import MitieModel, MitieNLP
  from rasa.nlu.constants import TOKENS_NAMES
  from rasa.shared.nlu.constants import TEXT, INTENT
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 2 for calling the MitieIntentClassifier obj's underlying member method code with example usage: obj.get_default_config() and returns: dict