code: def test_print_progress_3():
      lr = LogisticRegression(
          epochs=100,
          eta=0.01,
          minibatches=1,
          print_progress=3,
          random_seed=1,
      )
      lr.fit(X, y)
  
imports: import sys
  import numpy
  from sklearn.base import clone
  from mlxtend.classifier import LogisticRegression
  from mlxtend.data import iris_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 6 for calling a global function with example usage: test_print_progress_3() without return types