def main():
spaceopt = SpaceOpt(search_space=search_space(),
target_name='y',
objective='min')
print(spaceopt)
best_spoint = None
best_y = 123456789.0
for iteration in range(1, spaceopt.space.size + 1):
if iteration <= 10:
spoint = spaceopt.get_random(num_spoints=1, sample_size=1000)
spoint_type = 'random'
else:
spoint = spaceopt.fit_predict(num_spoints=1, sample_size=1000)
spoint_type = 'fit_predict'
spoint['y'] = evaluation_function(spoint)
spaceopt.append_evaluated_spoint(spoint)
if spoint['y'] < best_y:
best_y = spoint['y']
best_spoint = spoint
print(
f'{iteration}, y={round(best_y, 6)}, {spoint_type}, {best_spoint}'
)
if best_y < -6.289:
print('global minimum has been found\n'
f'{iteration}/{spaceopt.space.size} = '
f'{iteration / spaceopt.space.size}')
return
def test_SpaceOpt__sample_unevaluated_unique_spoints():
spaceopt = SpaceOpt(search_space=search_space(),
target_name='y',
objective='min')
try:
spaceopt._sample_unevaluated_unique_spoints(sample_size=100.0)
except Exception as e:
assert isinstance(e, TypeError)
assert str(
e
) == "sample_size is of type <class 'float'>, but it should be of type <class 'int'>."
try:
spaceopt._sample_unevaluated_unique_spoints(sample_size=0)
except Exception as e:
assert isinstance(e, ValueError)
assert str(e) == "sample_size should be greater than 0."
try:
spaceopt._sample_unevaluated_unique_spoints(sample_size=100,
max_num_retries=10.0)
except Exception as e:
assert isinstance(e, TypeError)
assert str(
e
) == "max_num_retries is of type <class 'float'>, but it should be of type <class 'int'>."
try:
spaceopt._sample_unevaluated_unique_spoints(sample_size=1,
max_num_retries=0)
except Exception as e:
assert isinstance(e, ValueError)
assert str(e) == "max_num_retries should be greater than 0."
spaceopt = SpaceOpt(search_space={
'w': ['W1', 'W2'],
'b': [5]
},
target_name='y',
objective='min')
spaceopt.append_evaluated_spoint({'w': 'W1', 'b': 5, 'y': 0.1})
spoints = spaceopt._sample_unevaluated_unique_spoints(sample_size=100,
max_num_retries=100)
assert len(spoints) == 1
assert spoints[0]['w'] == 'W2'
spaceopt.append_evaluated_spoint({'w': 'W2', 'b': 5, 'y': 0.2})
try:
spaceopt._sample_unevaluated_unique_spoints(sample_size=100,
max_num_retries=100)
except Exception as e:
assert isinstance(e, RuntimeError)
assert str(
e
) == 'could not sample any new spoints - search_space is fully explored or random sampling was unfortunate.\nsearch_space.size = 2\nnum evaluated spoints = 2\nnum unevaluated spoints = 0'
def test_SpaceOpt_fit_predict():
spaceopt = SpaceOpt(search_space=search_space(),
target_name='y',
objective='min')
try:
spaceopt.fit_predict(num_spoints=2.0)
except Exception as e:
assert isinstance(e, TypeError)
assert str(
e
) == "num_spoints is of type <class 'float'>, but it should be of type <class 'int'>."
try:
spaceopt.fit_predict(num_spoints=0)
except Exception as e:
assert isinstance(e, ValueError)
assert str(e) == "num_spoints should be greater than 0."
try:
spaceopt.fit_predict(num_boost_round=2048.0)
except Exception as e:
assert isinstance(e, TypeError)
assert str(
e
) == "num_boost_round is of type <class 'float'>, but it should be of type <class 'int'>."
try:
spaceopt.fit_predict(num_boost_round=0)
except Exception as e:
assert isinstance(e, ValueError)
assert str(e) == "num_boost_round should be greater than 0."
try:
spaceopt.fit_predict(sample_size=100.0)
except Exception as e:
assert isinstance(e, TypeError)
assert str(
e
) == "sample_size is of type <class 'float'>, but it should be of type <class 'int'>."
try:
spaceopt.fit_predict(sample_size=0)
except Exception as e:
assert isinstance(e, ValueError)
assert str(e) == "sample_size should be greater than 0."
for i in range(10):
spoint = spaceopt.fit_predict(num_spoints=1,
num_boost_round=100,
sample_size=100)
assert isinstance(spoint, dict)
spoint['y'] = random.uniform(-1, 1)
spaceopt.append_evaluated_spoint(spoint)
def test_SpaceOpt_append_evaluated_spoint():
spaceopt = SpaceOpt(search_space=search_space(),
target_name='y',
objective='min')
try:
spaceopt.append_evaluated_spoint(['a', 'b', 'c', 'd', 'e'])
except Exception as e:
assert isinstance(e, TypeError)
assert str(
e
) == "evaluated_spoint is of type <class 'list'>, but it should be of type <class 'dict'>."
try:
spaceopt.append_evaluated_spoint({
'a': 16,
'b': 3.3,
'c': 512,
'd': 'typeX',
'e': False,
'f': 10000
})
except Exception as e:
assert isinstance(e, ValueError)
assert str(
e
) == "spoint={'a': 16, 'b': 3.3, 'c': 512, 'd': 'typeX', 'e': False, 'f': 10000} is not evaluated, target_name='y' is not found."
try:
spaceopt.append_evaluated_spoint({
'a': 16,
'b': 3.3,
'c': 512,
'd': 'typeX',
'e': False,
'f': 10000,
'y': 1
})
except Exception as e:
assert isinstance(e, TypeError)
assert str(
e
) == "evaluated_spoint has 'y' with value=1 of type <class 'int'>, but it should be of type <class 'float'>."
spaceopt.append_evaluated_spoint({
'a': 16,
'b': 3.3,
'c': 512,
'd': 'typeX',
'e': False,
'f': 10000,
'y': 1.0
})