def test_continuous_uniform():
h1 = hp.UniformContinuousHyperParameter('h1', 0.0, 1.0)
assert h1.name == 'h1'
assert h1.num_choices == 0
assert h1.min_value == 0.0
assert h1.max_value == 1.0
assert repr(h1)
def test_continuous_uniform_encode_decode_log_space():
h1 = hp.UniformContinuousHyperParameter('h1', 0.0, 1.0, log_encode=True)
sample = h1.sample()
encoded = h1.encode(sample)
assert encoded == -0.5999965965916227
decoded = h1.decode(encoded)
assert decoded == sample
def test_continuous_uniform_encode_decode():
h1 = hp.UniformContinuousHyperParameter('h1', 0.0, 1.0)
sample = h1.sample()
encoded = h1.encode(sample)
assert encoded == sample
decoded = h1.decode(encoded)
assert decoded == sample
def test_uniform_serialization_deserialization():
h1 = hp.UniformContinuousHyperParameter('h1', 0.0, 1.0, log_encode=True)
config = h1.get_config()
assert 'name' in config
assert 'min_value' in config
assert 'max_value' in config
assert 'log_encode' in config
min, max = config['min_value'], config['max_value']
assert min == 0.0
assert max == 1.0
h2 = hp.UniformContinuousHyperParameter.load_from_config(config)
config = h2.get_config()
assert 'name' in config
assert 'min_value' in config
assert 'max_value' in config
assert 'log_encode' in config
min, max = config['min_value'], config['max_value']
assert min == 0.0
assert max == 1.0
def test_continuous_uniform_sample():
h1 = hp.UniformContinuousHyperParameter('h1', 0.0, 1.0)
sample = h1.sample()
assert 0.0 <= sample and sample < 1.0
def test_continuous_uniform_no_values():
with pytest.raises(ValueError):
hp.UniformContinuousHyperParameter(None, 0, 1)
with pytest.raises(ValueError):
hp.UniformContinuousHyperParameter('h1', None, None)
def get_hyperparameter_list():
h1 = hp.DiscreteHyperParameter('h1', [0, 1, 2])
h2 = hp.DiscreteHyperParameter('h2', [3, 4, 5, 6])
h3 = hp.UniformContinuousHyperParameter('h3', 7, 10)
h4 = hp.DiscreteHyperParameter('h4', ['v1', 'v2'])
return [h1, h2, h3, h4]
def get_branin_hyperparameter_list():
h1 = hp.UniformContinuousHyperParameter('h1', -5.0, 10.0)
h2 = hp.UniformContinuousHyperParameter('h2', 0.0, 15.0)
return [h1, h2]
def get_hartmann6_hyperparameter_list():
h = [hp.UniformContinuousHyperParameter('h%d' % i, 0.0, 1.0) for i in range(6)]
return h
