def test_values(self):
# uniform histogram
self.assertTrue(_entropy([1, 1, 1]) == np.log2(3))
# use the examples of the TestErrorHistogramHelperFunction test above
# A)
hist = [0, 4]
self.assertTrue(_entropy(hist) == 0)
# B)
hist = [0, 0, 4, 0]
self.assertTrue(_entropy(hist) == 0)
# C)
hist = [4, 0, 0, 0]
self.assertTrue(_entropy(hist) == 0)
# D)
hist = [0, 0, 3, 1]
self.assertTrue(np.allclose(_entropy(hist), 0.811278124459))
# E)
hist = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
self.assertTrue(np.allclose(_entropy(hist), 0.921928094887))
def test_values(self):
# uniform histogram
self.assertTrue(_entropy([1, 1, 1]) == np.log2(3))
# use the examples of the TestErrorHistogramHelperFunction test above
# A)
hist = [0, 4]
self.assertTrue(_entropy(hist) == 0)
# B)
hist = [0, 0, 4, 0]
self.assertTrue(_entropy(hist) == 0)
# C)
hist = [4, 0, 0, 0]
self.assertTrue(_entropy(hist) == 0)
# D)
hist = [0, 0, 3, 1]
self.assertTrue(np.allclose(_entropy(hist), 0.811278124459))
# E)
hist = [
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 8, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
]
self.assertTrue(np.allclose(_entropy(hist), 0.921928094887))
def test_types(self):
entropy = _entropy(np.ones(6))
self.assertIsInstance(entropy, float)
def test_types(self):
entropy = _entropy(np.ones(6))
self.assertIsInstance(entropy, float)
