code: def test_get_coeff():
      lr = LinearRegression()
      svr_lin = SVR(kernel="linear", gamma="auto")
      ridge = Ridge(random_state=1)
      stregr = StackingRegressor(
          regressors=[svr_lin, lr], meta_regressor=ridge
      )
      stregr.fit(X1, y)
      got = stregr.coef_
      expect = np.array([0.4874216, 0.45518317])
      assert_almost_equal(got, expect)
  
imports: import numpy
  import pytest
  from numpy.testing import assert_almost_equal
  from packaging.version import Version
  from scipy import sparse
  from sklearn import __version__
  from sklearn.base import clone
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.linear_model import LinearRegression, Ridge
  from sklearn.model_selection import GridSearchCV, train_test_split
  from sklearn.neighbors import KNeighborsRegressor
  from sklearn.svm import SVR
  from mlxtend.externals.estimator_checks import NotFittedError
  from mlxtend.regressor import StackingRegressor
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 11 for calling a global function with example usage: test_get_coeff() without return types