code: def reg_train_data():
      X, y = make_regression(
          n_samples=100, n_features=10, n_informative=8, random_state=0
      )
      return X, y
  
file_path: lightning/lightning/impl/tests/test_sgd.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_regression
  from lightning.impl.datasets.samples_generator import make_nn_regression
  from lightning.impl.sgd import SGDClassifier
  from lightning.impl.sgd import SGDRegressor
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 1 for calling a global function with example usage: reg_train_data() and returns: X,  y