def test_abstract_multi_continuous_sample():
h1 = hp.AbstractMultiContinuousHyperParameter('h1',
0.0,
1.0,
sample_count=5)
with pytest.raises(NotImplementedError):
sample = h1.sample()
def test_abstact_multi_continuous_encode_decode():
h1 = hp.AbstractMultiContinuousHyperParameter('h1',
0.0,
1.0,
sample_count=5)
encoded = h1.encode([0.5, 0.2, 0.1, 0.3, 0.7])
assert encoded == [0.5, 0.2, 0.1, 0.3, 0.7]
decoded = h1.decode(encoded)
assert decoded == [0.5, 0.2, 0.1, 0.3, 0.7]
def test_abstract_multi_continuous():
h1 = hp.AbstractMultiContinuousHyperParameter('h1',
0.0,
1.0,
sample_count=5)
assert h1.name == 'h1'
assert h1.num_choices == 0
assert h1._val1 == 0.0
assert h1._val2 == 1.0
assert repr(h1)
assert h1.sample_count == 5
def test_abstract_multi_continuous_log_space_encode_decode():
h1 = hp.AbstractMultiContinuousHyperParameter('h1',
0.0,
1.0,
log_encode=True,
sample_count=5)
encoded = h1.encode([0.5, 0.2, 0.1, 0.3, 0.7])
assert np.allclose(encoded, [
-0.6931471805599453, -1.6094379124341003, -2.3025850929940455,
-1.2039728043259361, -0.35667494393873245
],
atol=1e-2)
decoded = h1.decode(encoded)
assert np.allclose(decoded, [0.5, 0.2, 0.1, 0.3, 0.7], atol=1e-3)
encoded = h1.encode([0.0])
assert encoded == [-np.inf]
decoded = h1.decode(encoded)
assert decoded == [0.0]
def test_abstract_multi_continuous_no_values():
with pytest.raises(ValueError):
hp.AbstractMultiContinuousHyperParameter(None, 0, 1)
with pytest.raises(ValueError):
hp.AbstractMultiContinuousHyperParameter('h1', None, None)
