code: def __init__(self, model_path: str, label_path: str):
      with open(model_path, "rb") as f:
          self.model = pickle.load(f)
      with open(label_path) as f:
          self.label_list = json.load(f)
  
file_path: ray/doc/source/serve/doc_code/tutorial_sklearn.py
imports: from ray import serve
  import pickle
  import json
  import numpy
  import os
  import tempfile
  from starlette.requests import Request
  from typing import Dict
  from sklearn.datasets import load_iris
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.metrics import mean_squared_error
label_desc: Use image node_id 1 to create a new BoostingModel object  with example: obj = BoostingModel(model_path, label_path)