code: def save(self):
      with open(self._result_path, "w") as fout:
          fout.write(
              json.dumps(self.to_json(), indent=4, cls=MLJSONEncoder)
          )
  
imports: import datetime
  import itertools
  import json
  import os
  import time
  import numpy
  import pandas
  from joblib import Parallel, delayed
  from sklearn.metrics import log_loss, mean_squared_error
  from sklearn.model_selection import train_test_split
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION
  from supervised.exceptions import AutoMLException
  from supervised.utils.jsonencoder import MLJSONEncoder
label_desc: Use image node_id 6 for calling the GoldenFeaturesTransformer obj's underlying member method code with example usage: obj.save() without return types