class_docstr: Integration with the spaCy NLP library.
class_docstr_tok: ["Integration","with","the","spaCy","NLP","library","."]
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.default_linguistic_feature = "ner"
      self.linguistic_features = [
          "ner",
          "lemmatization",
          "dependency-parsing",
          "pos-tag",
          "morphology",
      ]
  
file_path: mindsdb/mindsdb/integrations/handlers/spacy_handler/spacy_handler.py
imports: import spacy
  import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
  from typing import Optional
label_desc: Use image node_id 1 to create a new SpacyHandler object from inherited base classes: BaseMLEngine with example: obj = SpacyHandler()