code: def test_regression_boston():
      boston = fetch_openml("boston", as_frame=True)
      data = boston.frame
      er = SimpleRegressor()
      er.fit(data, target_col="MEDV")
  
      # test numpy array
      er = SimpleRegressor()
      er.fit(boston.data, boston.target)
  
imports: import pytest
  import pandas
  import numpy
  from sklearn.datasets import load_iris, make_blobs, load_digits, fetch_openml
  from sklearn.svm import LinearSVC
  from sklearn.linear_model import LogisticRegression
  from sklearn.dummy import DummyClassifier
  from dabl.datasets import load_titanic
  from dabl.models import SimpleClassifier, SimpleRegressor, AnyClassifier
label_desc: Use image node_id 6 for calling a global function with example usage: test_regression_boston() without return types