Exemplo n.º 1
0
	def logNormalization(self):
		marginal = self._variables[0].value
		message = self._messages[0].value
		messageFromVariable = marginal/message
		mean = messageFromVariable.mean
		std = messageFromVariable.standardDeviation
		z = cumulativeTo((self._epsilon - mean) / std) - cumulativeTo((-1.0 * self._epsilon - mean) / std)
		return -1.0 * logProductNormalization(messageFromVariable, message) + log(z)
Exemplo n.º 2
0
	def logNormalization(self):
		marginal = self._variables[0].value
		message = self._messages[0].value
		messageFromVariable = marginal/message
		return -1.0*logProductNormalization(messageFromVariable, message) + log(cumulativeTo((messageFromVariable.mean - self._epsilon) / messageFromVariable.standardDeviation))
Exemplo n.º 3
0
	def test_cumulativeToTests(self):
		desired = 0.691462
		actual = cumulativeTo(0.5)
		self.assertAlmostEqual(first=desired, second=actual, delta=self.__errorTolerance)