code: def to_json(self):
      data_json = {
          "new_features": self._new_features,
          "new_columns": self._new_columns,
          "ml_task": self._ml_task,
      }
      if self._error is not None and self._error:
          data_json["error"] = self._error
      return data_json
  
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 4 for calling the GoldenFeaturesTransformer obj's underlying member method code with example usage: obj.to_json() and returns: data_json