code: def test_repr_html(boston_train):
      X, y, feature_names = boston_train
      reg = LinearRegression()
      reg.fit(X, y)
      res = explain_weights_sklearn(reg)
      html = res._repr_html_()
      assert "LinearRegression" not in html
      assert "BIAS" in html
  
imports: from sklearn.linear_model import LinearRegression
  from sklearn.tree import DecisionTreeRegressor
  from sklearn.base import BaseEstimator
  from eli5.sklearn import explain_weights_sklearn
label_desc: Use image node_id 1 for calling a global function with example usage: test_repr_html(boston_train) without return types