def test_threshold_without_refitting():
    clf = SGDClassifier(alpha=0.1, n_iter=10, shuffle=True, random_state=0)
    model = SelectFromModel(clf, threshold=0.1)
    model.fit(data, y)
    X_transform = model.transform(data)

    # Set a higher threshold to filter out more features.
    model.threshold = 1.0
    assert_greater(X_transform.shape[1], model.transform(data).shape[1])
Test that the threshold can be set without refitting the model.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/feature_selection/tests/test_from_model.py/test_threshold_without_refitting