Python DecisionTree._calculate_shannon_entropy 예제들

예제 #1

파일: decision_tree_tests.py 프로젝트: jasonhotsauce/neural-network

 def test_calculate_shannon_entropy(self):
     h = DecisionTree._calculate_shannon_entropy(self.sample_output)
     self.assertAlmostEqual(
         h,
         0.970951,
         places=5,
         msg='Shannon entropy should be 0.970951, but get: %f' % h)

예제 #2

파일: decision_tree_tests.py 프로젝트: jasonhotsauce/neural-network

 def test_calculate_shannon_entropy(self):
     h = DecisionTree._calculate_shannon_entropy(self.sample_output)
     self.assertAlmostEqual(h, 0.970951, places=5, msg="Shannon entropy should be 0.970951, but get: %f" % h)