code: def test_init_params():
      est = BlankModel(print_progress=0, random_seed=1)
      b, w = est._init_params(
          weights_shape=(3, 3), bias_shape=(1,), random_seed=0
      )
      assert b == np.array([0.0]), b
  
      expect_w = np.array(
          [
              [0.018, 0.004, 0.01],
              [0.022, 0.019, -0.01],
              [0.01, -0.002, -0.001],
          ]
      )
      np.testing.assert_almost_equal(w, expect_w, decimal=3)
  
file_path: mlxtend/mlxtend/_base/tests/test_iterative_model.py
imports: import numpy
  from mlxtend._base import _IterativeModel
label_desc: Use image node_id 3 for calling a global function with example usage: test_init_params() without return types