예제 #1
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def test_sparse_to_dense():
    todense = DenseTransformer()
    tfidf = TfidfTransformer()
    X_t = tfidf.fit_transform([[1, 2, 3]])
    assert issparse(X_t)
    X_dense = todense.transform(X_t)
    expect = np.array([[0.26726124, 0.53452248, 0.80178373]])
    assert np.allclose(X_dense, expect)
예제 #2
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def test_sparse_to_dense():
    todense = DenseTransformer()
    tfidf = TfidfTransformer()
    X_t = tfidf.fit_transform([[1, 2, 3]])
    assert issparse(X_t)
    X_dense = todense.transform(X_t)
    expect = np.array([[0.26726124, 0.53452248, 0.80178373]])
    assert np.allclose(X_dense, expect)
예제 #3
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def test_dense_to_dense():
    todense = DenseTransformer(return_copy=False)
    np.testing.assert_array_equal(X, todense.transform(X))
예제 #4
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def test_dense_to_dense():
    todense = DenseTransformer(return_copy=False)
    np.testing.assert_array_equal(X, todense.transform(X))