class_docstr: TimeSequence feature engineering
code: def get_feature_list(self):
      feature_list = []
      if self.time_features:
          for feature in TIME_FEATURE + ADDITIONAL_TIME_FEATURE:
              feature_list.append(feature + "({})".format(self.dt_col))
      if self.extra_features_col:
          feature_list += self.extra_features_col
      return feature_list
  
imports: from bigdl.chronos.autots.deprecated.feature.utils import save_config
  from bigdl.chronos.autots.deprecated.feature.abstract import BaseFeatureTransformer
  from bigdl.chronos.utils import deprecated
  import sklearn
  from sklearn.preprocessing import StandardScaler
  import pandas
  import numpy
  import json
  from packaging import version
label_desc: Use image node_id 12 for calling the TimeSequenceFeatureTransformer obj's underlying member method code with example usage: obj.get_feature_list() and returns: feature_list