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Add max_features to MFS to help STree integration

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This commit is contained in:
Ricardo Montañana Gómez
2021-05-29 01:24:37 +02:00
parent ee5020e6d9
commit 39fbdf73a7
2 changed files with 75 additions and 39 deletions
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87
mfs/tests/MFS_test.py
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@@ -21,8 +21,8 @@ class MFS_test(unittest.TestCase):
self.assertAlmostEqual(a, b, tol)
def test_initialize(self):
mfs = MFS()
mfs.fcbs(self.X_w, self.y_w, 0.05)
mfs = MFS(max_features=100)
mfs.fcbf(self.X_w, self.y_w, 0.05)
mfs._initialize()
self.assertIsNone(mfs.get_results())
self.assertListEqual([], mfs.get_scores())
@@ -30,7 +30,7 @@ class MFS_test(unittest.TestCase):
self.assertIsNone(mfs._su_labels)
def test_csf_wine(self):
mfs = MFS()
mfs = MFS(max_features=100)
expected = [6, 12, 9, 4, 10, 0]
self.assertListAlmostEqual(
expected, mfs.cfs(self.X_w, self.y_w).get_results()
@@ -45,8 +45,21 @@ class MFS_test(unittest.TestCase):
]
self.assertListAlmostEqual(expected, mfs.get_scores())
def test_csf_max_features(self):
mfs = MFS(max_features=3)
expected = [6, 12, 9]
self.assertListAlmostEqual(
expected, mfs.cfs(self.X_w, self.y_w).get_results()
)
expected = [
0.5218299405215557,
0.602513857132804,
0.4877384978817362,
]
self.assertListAlmostEqual(expected, mfs.get_scores())
def test_csf_iris(self):
mfs = MFS()
mfs = MFS(max_features=100)
expected = [3, 2, 0, 1]
computed = mfs.cfs(self.X_i, self.y_i).get_results()
self.assertListAlmostEqual(expected, computed)
@@ -58,9 +71,9 @@ class MFS_test(unittest.TestCase):
]
self.assertListAlmostEqual(expected, mfs.get_scores())
def test_fcbs_wine(self):
mfs = MFS()
computed = mfs.fcbs(self.X_w, self.y_w, threshold=0.05).get_results()
def test_fcbf_wine(self):
mfs = MFS(max_features=100)
computed = mfs.fcbf(self.X_w, self.y_w, threshold=0.05).get_results()
expected = [6, 9, 12, 0, 11, 4]
self.assertListAlmostEqual(expected, computed)
expected = [
@@ -73,30 +86,42 @@ class MFS_test(unittest.TestCase):
]
self.assertListAlmostEqual(expected, mfs.get_scores())
def test_fcbs_iris(self):
mfs = MFS()
computed = mfs.fcbs(self.X_i, self.y_i, threshold=0.05).get_results()
expected = [3, 2]
self.assertListAlmostEqual(expected, computed)
expected = [0.870521418179061, 0.810724587460511]
self.assertListAlmostEqual(expected, mfs.get_scores())
def test_compute_su_labels(self):
mfs = MFS()
mfs.fcbs(self.X_i, self.y_i, threshold=0.05)
expected = [0.0, 0.0, 0.810724587460511, 0.870521418179061]
self.assertListAlmostEqual(expected, mfs._compute_su_labels().tolist())
mfs._su_labels = [1, 2, 3, 4]
self.assertListAlmostEqual([1, 2, 3, 4], mfs._compute_su_labels())
def test_invalid_threshold(self):
mfs = MFS()
with self.assertRaises(ValueError):
mfs.fcbs(self.X_i, self.y_i, threshold=1e-5)
def test_fcbs_exit_threshold(self):
mfs = MFS()
computed = mfs.fcbs(self.X_w, self.y_w, threshold=0.4).get_results()
def test_fcbf_max_features(self):
mfs = MFS(max_features=3)
computed = mfs.fcbf(self.X_w, self.y_w, threshold=0.05).get_results()
expected = [6, 9, 12]
self.assertListAlmostEqual(expected, computed)
expected = [
0.5218299405215557,
0.46224298637417455,
0.44518278979085646,
]
self.assertListAlmostEqual(expected, mfs.get_scores())
def test_fcbf_iris(self):
mfs = MFS(max_features=100)
computed = mfs.fcbf(self.X_i, self.y_i, threshold=0.05).get_results()
expected = [3, 2]
self.assertListAlmostEqual(expected, computed)
expected = [0.870521418179061, 0.810724587460511]
self.assertListAlmostEqual(expected, mfs.get_scores())
def test_compute_su_labels(self):
mfs = MFS(max_features=100)
mfs.fcbf(self.X_i, self.y_i, threshold=0.05)
expected = [0.0, 0.0, 0.810724587460511, 0.870521418179061]
self.assertListAlmostEqual(expected, mfs._compute_su_labels().tolist())
mfs._su_labels = [1, 2, 3, 4]
self.assertListAlmostEqual([1, 2, 3, 4], mfs._compute_su_labels())
def test_invalid_threshold(self):
mfs = MFS(max_features=100)
with self.assertRaises(ValueError):
mfs.fcbf(self.X_i, self.y_i, threshold=1e-15)
def test_fcbf_exit_threshold(self):
mfs = MFS(max_features=100)
computed = mfs.fcbf(self.X_w, self.y_w, threshold=0.4).get_results()
expected = [6, 9, 12]
self.assertListAlmostEqual(expected, computed)
expected = [