code: def get_selected_features(self):
      return self.selected_features_
  
imports: import time
  import numpy
  import pandas
  from sklearn.base import BaseEstimator
  from sklearn.feature_selection import SelectorMixin
  from sklearn.utils.validation import check_is_fitted
  import torch
  from nni.feature_engineering.feature_selector import FeatureSelector
  from .None import constants
  from .fginitialize import PrepareData
  from .fgtrain import _train
label_desc: Use image node_id 5 for calling the FeatureGradientSelector obj's underlying member method code with example usage: obj.get_selected_features() and returns: self