code: def logistic_iris():
      X, y = load_iris(return_X_y=True)
      lr = LogisticRegression(
          solver="lbfgs", multi_class="multinomial", max_iter=200
      ).fit(X, y)
      return X, y, lr
  
file_path: alibi/alibi/explainers/tests/test_counterfactual.py
imports: import pytest
  import numpy
  from sklearn.datasets import load_iris
  from sklearn.linear_model import LogisticRegression
  import tensorflow
  from alibi.api.defaults import DEFAULT_META_CF, DEFAULT_DATA_CF
  from alibi.explainers.counterfactual import _define_func
  from alibi.explainers import Counterfactual
label_desc: Use image node_id 1 for calling a global function with example usage: logistic_iris() and returns: X,  y,  lr