code: def test_fit_model_coef_when_not_using_weight_func():
      """
      Check the value of the regressor coefs when not using a `weight_func`.
      """
      forecaster = ForecasterAutoreg(
          regressor=LinearRegression(), lags=5
      )
      forecaster.fit(y=y)
      results = forecaster.regressor.coef_
      expected = np.array(
          [
              0.16773502,
              -0.09712939,
              0.10046413,
              -0.09971515,
              -0.15849756,
          ]
      )
  
      np.testing.assert_almost_equal(results, expected)
  
file_path: skforecast/skforecast/ForecasterAutoreg/tests/test_fit.py
imports: import numpy
  import pandas
  from skforecast.ForecasterAutoreg import ForecasterAutoreg
  from sklearn.linear_model import LinearRegression
  from .fixtures_ForecasterAutoreg import y
label_desc: Use image node_id 9 for calling a global function with example usage: test_fit_model_coef_when_not_using_weight_func() without return types