def test_optimizer_copy(acq_func):
# Checks that the base estimator, the objective and target values
# are copied correctly.
base_estimator = ExtraTreesRegressor(random_state=2)
opt = Optimizer([(-2.0, 2.0)], base_estimator, acq_func=acq_func,
n_initial_points=1, acq_optimizer="sampling")
# run three iterations so that we have some points and objective values
if "ps" in acq_func:
opt.run(bench1_with_time, n_iter=3)
else:
opt.run(bench1, n_iter=3)
opt_copy = opt.copy()
copied_estimator = opt_copy.base_estimator_
if "ps" in acq_func:
assert_true(isinstance(copied_estimator, MultiOutputRegressor))
# check that the base_estimator is not wrapped multiple times
is_multi = isinstance(copied_estimator.estimator,
MultiOutputRegressor)
assert_false(is_multi)
else:
assert_false(isinstance(copied_estimator, MultiOutputRegressor))
assert_array_equal(opt_copy.Xi, opt.Xi)
assert_array_equal(opt_copy.yi, opt.yi)
def test_optimizer_copy(acq_func):
# Checks that the base estimator, the objective and target values
# are copied correctly.
base_estimator = ExtraTreesRegressor(random_state=2)
opt = Optimizer([(-2.0, 2.0)],
base_estimator,
acq_func=acq_func,
n_initial_points=1,
acq_optimizer="sampling")
# run three iterations so that we have some points and objective values
if "ps" in acq_func:
opt.run(bench1_with_time, n_iter=3)
else:
opt.run(bench1, n_iter=3)
opt_copy = opt.copy()
copied_estimator = opt_copy.base_estimator_
if "ps" in acq_func:
assert isinstance(copied_estimator, MultiOutputRegressor)
# check that the base_estimator is not wrapped multiple times
is_multi = isinstance(copied_estimator.estimator, MultiOutputRegressor)
assert not is_multi
else:
assert not isinstance(copied_estimator, MultiOutputRegressor)
assert_array_equal(opt_copy.Xi, opt.Xi)
assert_array_equal(opt_copy.yi, opt.yi)
def test_optimizer_copy(acq_func):
opt = Optimizer([(-2.0, 2.0)], acq_func=acq_func)
opt_copy = opt.copy()
base_est = opt_copy.base_estimator_
if "ps" in acq_func:
assert_true(isinstance(base_est, MultiOutputRegressor))
# check that the base_estimator is not wrapped multiple times
assert_false(isinstance(base_est.estimator, MultiOutputRegressor))
else:
assert_false(isinstance(base_est, MultiOutputRegressor))
