Python ConditionalProbabilityTable.marginal Exemples

Exemple #1

def test_conditional():
	phditis = DiscreteDistribution({True: 0.01, False: 0.99})
	test_result = ConditionalProbabilityTable(
		[[True,  True,  0.95],
		 [True,  False, 0.05],
		 [False, True,  0.05],
		 [False, False, 0.95]], [phditis])

	assert discrete_equality(test_result.marginal(),
							 DiscreteDistribution({False: 0.941, True: 0.059}))

Exemple #2

Fichier : test_distributions.py Projet : pixelou/pomegranate

def test_conditional():
	phditis = DiscreteDistribution({True: 0.01, False: 0.99})
	test_result = ConditionalProbabilityTable(
		[[True,  True,  0.95],
		 [True,  False, 0.05],
		 [False, True,  0.05],
		 [False, False, 0.95]], [phditis])

	assert discrete_equality(test_result.marginal(),
							 DiscreteDistribution({False: 0.941, True: 0.059}))