code: def _get_sklearn_version():  # pragma: no cover
      """Utility function to decide the version of sklearn.
      PyOD will result in different behaviors with different sklearn version
  
      Returns
      -------
      sk_learn version : int
  
      """
  
      sklearn_version = str(sklearn.__version__)
      # print(sklearn_version)
      # if int(sklearn_version.split(".")[1]) < 19 or int(
      #         sklearn_version.split(".")[1]) > 24:
      #     raise ValueError("Sklearn version error")
      # print(sklearn_version)
  
      return sklearn_version
  
file_path: SUOD/suod/utils/utility.py
imports: import warnings
  import numpy
  import sklearn
  from pyod.models.abod import ABOD
  from pyod.models.hbos import HBOS
  from pyod.models.iforest import IForest
  from pyod.models.knn import KNN
  from pyod.models.lof import LOF
  from pyod.models.lscp import LSCP
  from pyod.models.mcd import MCD
  from pyod.models.ocsvm import OCSVM
  from pyod.models.pca import PCA
  from scipy.special import erf
  from sklearn.preprocessing import MinMaxScaler
label_desc: Use image node_id 4 for calling a global function with example usage: _get_sklearn_version() and returns: sklearn_version