code: def try_load(self):
      if os.path.exists(self._result_path):
          data = joblib.load(self._result_path)
          self._kmeans = data["kmeans"]
          self._scale = data["scale"]
  
          self._create_new_features_names()
  
file_path: mljar-supervised/supervised/preprocessing/kmeans_transformer.py
imports: import datetime
  import json
  import os
  import time
  import joblib
  import numpy
  import pandas
  from sklearn.cluster import MiniBatchKMeans
  from sklearn.preprocessing import StandardScaler
  from supervised.exceptions import AutoMLException
label_desc: Use image node_id 8 for calling the KMeansTransformer obj's underlying member method code with example usage: obj.try_load() without return types