39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
"""Test kddcup99 loader. Only 'percent10' mode is tested, as the full data
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is too big to use in unit-testing.
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The test is skipped if the data wasn't previously fetched and saved to
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scikit-learn data folder.
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"""
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from sklearn.datasets import fetch_kddcup99
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from sklearn.utils.testing import assert_equal, SkipTest
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def test_percent10():
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try:
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data = fetch_kddcup99(download_if_missing=False)
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except IOError:
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raise SkipTest("kddcup99 dataset can not be loaded.")
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assert_equal(data.data.shape, (494021, 41))
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assert_equal(data.target.shape, (494021,))
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data_shuffled = fetch_kddcup99(shuffle=True, random_state=0)
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assert_equal(data.data.shape, data_shuffled.data.shape)
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assert_equal(data.target.shape, data_shuffled.target.shape)
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data = fetch_kddcup99('SA')
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assert_equal(data.data.shape, (100655, 41))
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assert_equal(data.target.shape, (100655,))
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data = fetch_kddcup99('SF')
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assert_equal(data.data.shape, (73237, 4))
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assert_equal(data.target.shape, (73237,))
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data = fetch_kddcup99('http')
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assert_equal(data.data.shape, (58725, 3))
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assert_equal(data.target.shape, (58725,))
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data = fetch_kddcup99('smtp')
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assert_equal(data.data.shape, (9571, 3))
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assert_equal(data.target.shape, (9571,))
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