code: def test_mbsgd_regressor_set_params():
      x = np.linspace(0, 1, 50)
      y = x * 2
  
      model = cumlMBSGRegressor()
      model.fit(x, y)
      coef_before = model.coef_
  
      model = cumlMBSGRegressor(eta0=0.1, fit_intercept=False)
      model.fit(x, y)
      coef_after = model.coef_
  
      model = cumlMBSGRegressor()
      model.set_params(**{"eta0": 0.1, "fit_intercept": False})
      model.fit(x, y)
      coef_test = model.coef_
  
      assert coef_before != coef_after
      assert coef_after == coef_test
  
file_path: cuml/python/cuml/tests/test_mbsgd_regressor.py
imports: from sklearn.model_selection import train_test_split
  from cuml.datasets import make_regression
  from sklearn.linear_model import SGDRegressor
  from cuml.testing.utils import unit_param, quality_param, stress_param
  from cuml.metrics import r2_score
  from cuml.linear_model import MBSGDRegressor
  from cuml.internals.safe_imports import gpu_only_import
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 5 for calling a global function with example usage: test_mbsgd_regressor_set_params() without return types