def test_bayesian_oracle_with_zero_y(tmp_dir):
hp_list = [hp_module.Choice('a', [1, 2], default=1),
hp_module.Int('b', 3, 10, default=3),
hp_module.Float('c', 0, 1, 0.1, default=0),
hp_module.Fixed('d', 7),
hp_module.Choice('e', [9, 0], default=9)]
oracle = bo_module.BayesianOptimizationOracle()
for i in range(100):
oracle.populate_space(str(i), hp_list)
oracle.result(str(i), 0)
def test_save_before_result(tmp_dir):
hp_list = [hp_module.Choice('a', [1, 2], default=1),
hp_module.Int('b', 3, 10, default=3),
hp_module.Float('c', 0, 1, 0.1, default=0),
hp_module.Fixed('d', 7),
hp_module.Choice('e', [9, 0], default=9)]
oracle = bo_module.BayesianOptimizationOracle()
oracle.populate_space(str(1), hp_list)
oracle.save(os.path.join(tmp_dir, 'temp_oracle'))
oracle.result(str(1), 0)
def test_Fixed():
fixed = hp_module.Fixed('fixed', 'value')
fixed = hp_module.Fixed.from_config(fixed.get_config())
assert fixed.default == 'value'
assert fixed.random_sample() == 'value'
fixed = hp_module.Fixed('fixed', True)
assert fixed.default is True
assert fixed.random_sample() is True
fixed = hp_module.Fixed('fixed', False)
fixed = hp_module.Fixed.from_config(fixed.get_config())
assert fixed.default is False
assert fixed.random_sample() is False
fixed = hp_module.Fixed('fixed', 1)
assert fixed.value == 1
assert fixed.random_sample() == 1
fixed = hp_module.Fixed('fixed', 8.2)
assert fixed.value == 8.2
assert fixed.random_sample() == 8.2
with pytest.raises(ValueError, match='value must be an'):
hp_module.Fixed('fixed', None)
def test_Fixed():
fixed = hp_module.Fixed("fixed", "value")
fixed = hp_module.Fixed.from_config(fixed.get_config())
assert fixed.default == "value"
assert fixed.random_sample() == "value"
fixed = hp_module.Fixed("fixed", True)
assert fixed.default is True
assert fixed.random_sample() is True
fixed = hp_module.Fixed("fixed", False)
fixed = hp_module.Fixed.from_config(fixed.get_config())
assert fixed.default is False
assert fixed.random_sample() is False
fixed = hp_module.Fixed("fixed", 1)
assert fixed.value == 1
assert fixed.random_sample() == 1
fixed = hp_module.Fixed("fixed", 8.2)
assert fixed.value == 8.2
assert fixed.random_sample() == 8.2
with pytest.raises(ValueError, match="value must be an"):
hp_module.Fixed("fixed", None)
def test_bayesian_dynamic_space(tmp_dir):
hp_list = [hp_module.Choice('a', [1, 2], default=1)]
oracle = bo_module.BayesianOptimizationOracle()
for i in range(10):
oracle.populate_space(str(i), hp_list)
oracle.result(str(i), i)
hp_list.append(hp_module.Int('b', 3, 10, default=3))
assert 'b' in oracle.populate_space('1_0', hp_list)['values']
hp_list.append(hp_module.Float('c', 0, 1, 0.1, default=0))
assert 'c' in oracle.populate_space('1_1', hp_list)['values']
hp_list.append(hp_module.Fixed('d', 7))
assert 'd' in oracle.populate_space('1_2', hp_list)['values']
hp_list.append(hp_module.Choice('e', [9, 0], default=9))
assert 'e' in oracle.populate_space('1_3', hp_list)['values']
def test_Fixed():
fixed = hp_module.Fixed('fixed', 'value')
fixed = hp_module.Fixed.from_config(fixed.get_config())
assert fixed.default == 'value'
assert fixed.random_sample() == 'value'
def get_hyperparameter(value, hp, dtype):
if value is None:
return hp
elif isinstance(value, dtype):
return hyperparameters.Fixed(hp.name, value)
return value