code: def get_feature_names(self):
      return ["f1", "f2", "f3"]
  
file_path: eli5/tests/test_sklearn_transform.py
imports: import re
  import pytest
  import numpy
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.feature_selection import SelectPercentile, SelectKBest, SelectFpr, SelectFdr, SelectFwe, GenericUnivariateSelect, VarianceThreshold, RFE, RFECV, SelectFromModel
  from sklearn.linear_model import LogisticRegression
  from sklearn.preprocessing import MinMaxScaler, StandardScaler, MaxAbsScaler, RobustScaler
  from sklearn.pipeline import FeatureUnion, make_pipeline
  from eli5 import transform_feature_names
  from eli5.sklearn import PermutationImportance
label_desc: Use image node_id 3 for calling the MyFeatureExtractor obj's underlying member method code with example usage: obj.get_feature_names() and returns: list