code: def test_progress_2():
      gd_lr = LinearRegression(
          method="sgd",
          minibatches=1,
          eta=0.001,
          epochs=1,
          print_progress=2,
          random_seed=0,
      )
      gd_lr.fit(X_rm_std, y_std)
  
imports: import numpy
  from numpy.testing import assert_almost_equal
  from sklearn.base import clone
  from mlxtend.data import boston_housing_data
  from mlxtend.regressor import LinearRegression
label_desc: Use image node_id 7 for calling a global function with example usage: test_progress_2() without return types