本文整理汇总了Python中optimizer.Optimizer.objective方法的典型用法代码示例。如果您正苦于以下问题：Python Optimizer.objective方法的具体用法？Python Optimizer.objective怎么用？Python Optimizer.objective使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类optimizer.Optimizer的用法示例。
在下文中一共展示了Optimizer.objective方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_objective_single_game
# 需要导入模块: from optimizer import Optimizer [as 别名]
# 或者: from optimizer.Optimizer import objective [as 别名]
def test_objective_single_game(self):
o = Optimizer()
o.load_games([(1, 2, 1, 1)])
v1 = o.create_vars({1: {1: 2200}, 2: {1: 1800}}, [0, -1.01])
v2 = o.create_vars({1: {1: 2200}, 2: {1: 2200}}, [0, -1.01])
v3 = o.create_vars({1: {1: 1800}, 2: {1: 2200}}, [0, -1.01])
(total1, likelihood1, regularization1, smoothness1,
func_hard_reg, _) = o.objective(v1, verbose=True)
self.assertLess(likelihood1, 0)
self.assertTrue(1E-6 < regularization1 < 1)
self.assertEqual(smoothness1, 0)
self.assertTrue(func_hard_reg < 1)
(total2, likelihood2, regularization2, _, _, _) = o.objective(
v2, verbose=True)
self.assertLess(likelihood2, likelihood1)
(total3, likelihood3, regularization3, _, _, _) = o.objective(
v3, verbose=True)
self.assertAlmostEqual(regularization1, regularization3)
self.assertLess(total1 / total2, 0.9)
self.assertLess(total2 / total3, 0.9)示例2: test_objective_draw
# 需要导入模块: from optimizer import Optimizer [as 别名]
# 或者: from optimizer.Optimizer import objective [as 别名]
def test_objective_draw(self):
o = Optimizer(rating_reg=0)
o.load_games([(1, 2, 1, 2), (2, 1, 1, 2)])
v1 = o.create_vars({1: {1: 2200}, 2: {1: 1800}}, [0, -1.01])
v2 = o.create_vars({1: {1: 2000}, 2: {1: 2000}}, [0, -1.01])
v3 = o.create_vars({1: {1: 1800}, 2: {1: 2200}}, [0, -1.01])
self.assertLess(o.objective(v2), o.objective(v1))
self.assertLess(o.objective(v2), o.objective(v3))示例3: test_objective_symmetric_wins
# 需要导入模块: from optimizer import Optimizer [as 别名]
# 或者: from optimizer.Optimizer import objective [as 别名]
def test_objective_symmetric_wins(self):
o = Optimizer(rating_reg=0)
o.load_games([(1, 2, 1, 1), (2, 1, 1, 1)])
v1 = o.create_vars({1: {1: 2200}, 2: {1: 1800}}, [0, -1.01])
v2 = o.create_vars({1: {1: 2000}, 2: {1: 2000}}, [0, -1.01])
v3 = o.create_vars({1: {1: 1800}, 2: {1: 2200}}, [0, -1.01])
self.assertLess(o.objective(v2) / o.objective(v1), 0.9)
self.assertLess(o.objective(v2) / o.objective(v3), 0.9)示例4: test_single_game
# 需要导入模块: from optimizer import Optimizer [as 别名]
# 或者: from optimizer.Optimizer import objective [as 别名]
def test_single_game(self):
o = Optimizer(rand_seed=239)
o.load_games([(1, 2, 1, 1)])
ratings, f, v = o.run()
(total, likelihood, regularization, smoothness,
func_hard_reg, func_soft_reg) = o.objective(v, verbose=True)
self.assertTrue(100 < ratings[1][1] < 4000)
self.assertTrue(100 < ratings[2][1] < 4000)
self.assertGreater(
f.calc(convert_rating_diff(ratings[1][1] - ratings[2][1])), 0.5)
self.assertGreater(ratings[1][1], ratings[2][1])
total = o.objective(v)示例5: test_objective_time_reg
# 需要导入模块: from optimizer import Optimizer [as 别名]
# 或者: from optimizer.Optimizer import objective [as 别名]
def test_objective_time_reg(self):
o = Optimizer(rand_seed=239)
o.load_games([(1, 2, 1, 1), (1, 2, 2, 0)])
v = o.create_vars({1: {1: 2200, 2: 1800}, 2: {1: 1800, 2: 2200}},
(0, -1.01))
(total, likelihood, regularization, _, _, _) = o.objective(
v, verbose=True)
self.assertLess(likelihood, 0)
self.assertTrue(1E-6 < regularization < 1)示例6: test_time_regularization
# 需要导入模块: from optimizer import Optimizer [as 别名]
# 或者: from optimizer.Optimizer import objective [as 别名]
def test_time_regularization(self):
o = Optimizer(rand_seed=239)
o.load_games([(1, 2, 1, 1), (2, 1, 1, 0), (1, 2, 2, 0), (2, 1, 2, 1)])
rating, f, v = o.run()
(total1, _, reg, smoothness1, func_hard_reg,
func_soft_reg) = o.objective(v, verbose=True)
self.assertLess(func_hard_reg, 1)
self.assertGreater(smoothness1, 0.001)
self.assertGreater(rating[1][1], rating[1][2])
self.assertLess(rating[2][1], rating[2][2])
self.assertGreater(rating[1][1], rating[2][1])
self.assertLess(rating[1][2], rating[2][2])
prob1 = f.calc(convert_rating_diff(rating[1][1] - rating[2][1]))
self.assertGreater(prob1, 0.51)
prob2 = f.calc(convert_rating_diff(rating[1][2] - rating[2][2]))
self.assertLess(prob2, 0.49)