code: def new_lfr2(new_german):
      lfr = LearnedFairRepresentations("age", random_state=123)
      X, y = new_german
      Xt = lfr.fit_transform(X, y)
      yt = lfr.predict(X)
      return Xt, yt
  
imports: import numpy
  import pandas
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import GridSearchCV
  from sklearn.pipeline import make_pipeline
  from aif360.algorithms.preprocessing import LFR
  from aif360.sklearn.preprocessing import LearnedFairRepresentations
  from aif360.sklearn.metrics import make_scorer, statistical_parity_difference
label_desc: Use image node_id 4 for calling a global function with example usage: new_lfr2(new_german) and returns: Xt,  yt