code: def transform(self, x):
      x_pers_diag = self.persistence_diagram_extractor_.transform(x)
      n = (
          self.persistence_diagram_extractor_.homology_dimensions_[-1]
          + 1
      )
      feature_list = []
      column_list = []
      for (
          feature_name,
          feature_model,
      ) in self.persistence_diagram_features_.items():
          try:
              x_features = feature_model.fit_transform(x_pers_diag)
              feature_list.append(x_features)
              for dim in range(len(x_features)):
                  column_list.append("{}_{}".format(feature_name, dim))
          except BaseException:
              feature_list.append(np.array([0 for i in range(n)]))
              for dim in range(n):
                  column_list.append("{}_{}".format(feature_name, dim))
              continue
      x_transformed = pd.DataFrame(data=np.hstack(feature_list)).T
      x_transformed.columns = column_list
      return x_transformed
  
imports: from abc import ABC
  import numpy
  import pandas
  from gtda.diagrams import Scaler, Filtering, PersistenceEntropy, PersistenceLandscape, BettiCurve
  from gtda.homology import VietorisRipsPersistence
label_desc: Use image node_id 2 for calling the TopologicalFeaturesExtractor obj's underlying member method code with example usage: obj.transform(x) and returns: x_transformed