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src/s/c/scikit-learn-0.14.1/examples/hashing_vs_dict_vectorizer.py   scikit-learn(Download)
duration = time() - t0
print("done in %fs at %0.3fMB/s" % (duration, data_size_mb / duration))
print("Found %d unique terms" % len(vectorizer.get_feature_names()))
print()
 

src/p/r/Predicting-Code-Popularity-HEAD/run_test.py   Predicting-Code-Popularity(Download)
    #X = X.todense()
 
    feature_names = vec.get_feature_names()
 
    dense_X = X.toarray()

src/s/c/scikit-learn-0.14.1/sklearn/feature_extraction/tests/test_dict_vectorizer.py   scikit-learn(Download)
    assert_equal(D_out[0], {"version=1": 1, "ham": 2})
 
    names = v.get_feature_names()
    assert_true("version=2" in names)
    assert_false("version" in names)