class_docstr: Entity extractor which uses SpaCy.
class_docstr_tok: ["Entity","extractor","which","uses","SpaCy","."]
docstr: Initialize SpacyEntityExtractor.
docstr_tok: ["Initialize","SpacyEntityExtractor","."]
code: def __init__(self, config: Dict[Text, Any]) -> None:
      """Initialize SpacyEntityExtractor."""
      self._config = config
  
imports: import typing
  from typing import Any, Dict, List, 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.shared.nlu.constants import ENTITIES, TEXT
  from rasa.nlu.utils.spacy_utils import SpacyModel, SpacyNLP
  from rasa.nlu.extractors.extractor import EntityExtractorMixin
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 3 to create a new SpacyEntityExtractor object from inherited base classes: GraphComponent, EntityExtractorMixin with example: obj = SpacyEntityExtractor(config)