code: def save(self):
      joblib.dump(
          {"kmeans": self._kmeans, "scale": self._scale},
          self._result_path,
          compress=True,
      )
  
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 7 for calling the KMeansTransformer obj's underlying member method code with example usage: obj.save() without return types