code: def __init__(self, model):
      self.model = model
      self.label_list = iris_dataset["target_names"].tolist()
  
file_path: ray/doc/source/serve/doc_code/sklearn_quickstart.py
imports: import requests
  from starlette.requests import Request
  from typing import Dict
  from sklearn.datasets import load_iris
  from sklearn.ensemble import GradientBoostingClassifier
  from ray import serve
label_desc: Use image node_id 1 to create a new BoostingModel object  with example: obj = BoostingModel(model)