code: def test_get_coeff_fail():
      lr = LinearRegression()
      svr_rbf = SVR(kernel="rbf", gamma="auto")
      ridge = Ridge(random_state=1)
      stregr = StackingRegressor(
          regressors=[ridge, lr], meta_regressor=svr_rbf
      )
  
      with pytest.raises(AttributeError):
          stregr = stregr.fit(X1, y)
          r = stregr.coef_
          assert r
  
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 13 for calling a global function with example usage: test_get_coeff_fail() without return types