def testInferOutcomeUnbiased(self):
r1 = ProbabilisticRankingFunction(1, self.weights_1)
r2 = ProbabilisticRankingFunction(1, self.weights_2)
epi = ExploitativeProbabilisticInterleave("--exploration_rate=0.1")
outcome = epi.infer_outcome([1, 0, 3, 2], (None, r1, r2), [0, 1, 0, 0],
self.query)
self.assertAlmostEquals(0.03581, outcome, 8,
"Obtained outcome = %.8f" % outcome)
def testInferOutcomeUnbiased(self):
r1 = ProbabilisticRankingFunction(1, self.weights_1)
r2 = ProbabilisticRankingFunction(1, self.weights_2)
epi = ExploitativeProbabilisticInterleave("--exploration_rate=0.1")
outcome = epi.infer_outcome([1, 0, 3, 2], (None, r1, r2), [0, 1, 0, 0],
self.query)
self.assertAlmostEquals(0.03581, outcome, 8,
"Obtained outcome = %.8f" % outcome)
