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4 Commits
Add-IWSS-(
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fix_merit_
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d0f1cc5979
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b958bccef6
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a0f172ac13
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cfb37d2f6c |
@@ -1,6 +1,6 @@
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repos:
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- repo: https://github.com/ambv/black
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rev: 20.8b1
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rev: 22.1.0
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hooks:
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- id: black
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exclude: ".virtual_documents"
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@@ -128,7 +128,7 @@ class MUFS:
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k = len(features)
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for pair in list(combinations(features, 2)):
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rff += self._compute_su_features(*pair)
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return rcf / sqrt(k + (k ** 2 - k) * rff)
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return k * rcf / sqrt(k + (k**2 - k) * rff)
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def cfs(self, X, y):
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"""Correlation-based Feature Selection
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@@ -1,6 +1,6 @@
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from .Selection import MUFS
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__version__ = "0.1.1"
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__version__ = "0.1.2"
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__author__ = "Ricardo Montañana Gómez"
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__author_email__ = "Ricardo.Montanana@alu.uclm.es"
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__copyright__ = "Copyright 2021, Ricardo Montañana Gómez"
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@@ -34,33 +34,38 @@ class MUFSTest(unittest.TestCase):
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def test_csf_wine(self):
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mufs = MUFS()
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expected = [6, 12, 9, 4, 10, 0]
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expected = [6, 12, 9, 4, 10, 0, 7, 8]
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self.assertListEqual(
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expected, mufs.cfs(self.X_w, self.y_w).get_results()
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)
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expected = [
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0.5218299405215557,
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0.602513857132804,
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0.4877384978817362,
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0.3743688234383051,
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0.28795671854246285,
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0.2309165735173175,
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1.205027714265608,
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1.4632154936452084,
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1.4974752937532203,
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1.4397835927123144,
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1.385499441103905,
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1.340618857006277,
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1.2989177695790775,
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]
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self.assertListAlmostEqual(expected, mufs.get_scores())
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def test_csf_wine_cont(self):
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mufs = MUFS(discrete=False)
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expected = [10, 6, 0, 2, 11, 9]
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expected = [10, 6, 0, 2, 11, 9, 8, 1, 5]
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self.assertListEqual(
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expected, mufs.cfs(self.X_wc, self.y_w).get_results()
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)
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expected = [
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0.735264150416997,
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0.8321684551546848,
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0.7439915858469107,
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0.6238883340158233,
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0.513637402071709,
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0.41596400981378984,
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1.6643369103093697,
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2.231974757540732,
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2.4955533360632933,
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2.568187010358545,
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2.495784058882739,
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2.4409992149141915,
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2.3665143407182456,
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2.280111788845658,
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]
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self.assertListAlmostEqual(expected, mufs.get_scores())
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@@ -70,11 +75,7 @@ class MUFSTest(unittest.TestCase):
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self.assertListAlmostEqual(
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expected, mufs.cfs(self.X_w, self.y_w).get_results()
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)
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expected = [
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0.5218299405215557,
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0.602513857132804,
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0.4877384978817362,
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]
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expected = [0.5218299405215557, 1.205027714265608, 1.4632154936452084]
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self.assertListAlmostEqual(expected, mufs.get_scores())
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def test_csf_iris(self):
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@@ -84,9 +85,9 @@ class MUFSTest(unittest.TestCase):
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self.assertListEqual(expected, computed)
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expected = [
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0.870521418179061,
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0.8968651482682227,
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0.5908278453318913,
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0.40371971570693366,
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1.7937302965364454,
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1.7724835359956739,
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1.6148788628277346,
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]
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self.assertListAlmostEqual(expected, mufs.get_scores())
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@@ -154,11 +155,19 @@ class MUFSTest(unittest.TestCase):
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def test_iwss_wine(self):
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mufs = MUFS()
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expected = [6, 9, 12]
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expected = [6, 9, 12, 0, 11, 10, 5]
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self.assertListEqual(
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expected, mufs.iwss(self.X_w, self.y_w, 0.2).get_results()
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)
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expected = [0.5218299405215557, 0.5947822876110085, 0.4877384978817362]
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expected = [
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0.5218299405215557,
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1.189564575222017,
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1.4632154936452084,
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1.428626297656075,
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1.3384248731269246,
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1.2869213430115078,
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1.1949414936926785,
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]
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self.assertListAlmostEqual(expected, mufs.get_scores())
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def test_iwss_wine_max_features(self):
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@@ -167,7 +176,7 @@ class MUFSTest(unittest.TestCase):
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self.assertListEqual(
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expected, mufs.iwss(self.X_w, self.y_w, 0.4).get_results()
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)
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expected = [0.5218299405215557, 0.5947822876110085, 0.4877384978817362]
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expected = [0.5218299405215557, 1.189564575222017, 1.4632154936452084]
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self.assertListAlmostEqual(expected, mufs.get_scores())
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def test_iwss_exception(self):
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21
sample.py
21
sample.py
@@ -1,4 +1,5 @@
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import warnings
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import time
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from mufs import MUFS
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from mufs.Metrics import Metrics
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from stree import Stree
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@@ -26,16 +27,26 @@ for i in range(n):
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# Classification
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warnings.filterwarnings("ignore")
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print("CFS")
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now = time.time()
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cfs_f = mufsc.cfs(X, y).get_results()
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print(cfs_f)
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time_cfs = time.time() - now
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print(cfs_f, "items: ", len(cfs_f), f"time: {time_cfs:.3f} seconds")
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print("FCBF")
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fcfb_f = mufsc.fcbf(X, y, 5e-2).get_results()
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print(fcfb_f, len(fcfb_f))
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now = time.time()
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fcbf_f = mufsc.fcbf(X, y, 0.07).get_results()
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time_fcbf = time.time() - now
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print(fcbf_f, "items: ", len(fcbf_f), f"time: {time_fcbf:.3f} seconds")
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now = time.time()
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print("IWSS")
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iwss_f = mufsc.iwss(X, y, 0.5).get_results()
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time_iwss = time.time() - now
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print(iwss_f, "items: ", len(iwss_f), f"time: {time_iwss:.3f} seconds")
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print("X.shape=", X.shape)
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clf = Stree(random_state=0)
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print("Accuracy whole dataset", clf.fit(X, y).score(X, y))
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clf = Stree(random_state=0)
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print("Accuracy cfs", clf.fit(X[:, cfs_f], y).score(X[:, cfs_f], y))
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clf = Stree(random_state=0)
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subf = fcfb_f
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print("Accuracy fcfb", clf.fit(X[:, subf], y).score(X[:, subf], y))
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print("Accuracy fcfb", clf.fit(X[:, fcbf_f], y).score(X[:, fcbf_f], y))
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clf = Stree(random_state=0)
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print("Accuracy iwss", clf.fit(X[:, iwss_f], y).score(X[:, iwss_f], y))
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