def test_optimizer_params_passed_through(self):
"""Test that the optimizer parameters get passed through to the endpoint."""
test_case = self.gp_test_environments[0]
python_domain, python_gp = test_case
python_cov, historical_data = python_gp.get_core_data_copy()
# Test default test parameters get passed through
json_payload = json.loads(self._build_json_payload(python_domain, python_cov, historical_data))
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(params)
assert optimizer_parameters.num_multistarts == TEST_OPTIMIZER_MULTISTARTS
assert optimizer_parameters._python_max_num_steps == TEST_GRADIENT_DESCENT_PARAMETERS.max_num_steps
# Test arbitrary parameters get passed through
json_payload['optimizer_info']['num_multistarts'] = TEST_OPTIMIZER_MULTISTARTS + 5
json_payload['optimizer_info']['optimizer_parameters']['max_num_steps'] = TEST_GRADIENT_DESCENT_PARAMETERS.max_num_steps + 10
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(params)
assert optimizer_parameters.num_multistarts == TEST_OPTIMIZER_MULTISTARTS + 5
assert optimizer_parameters._python_max_num_steps == TEST_GRADIENT_DESCENT_PARAMETERS.max_num_steps + 10
def test_hyperparameters_passed_through(self):
"""Test that the hyperparameters get passed through to the endpoint."""
test_case = self.gp_test_environments[0]
python_domain, python_gp = test_case
python_cov, historical_data = python_gp.get_core_data_copy()
# Test default test parameters get passed through
json_payload = json.loads(self._build_json_payload(python_domain, python_cov, historical_data))
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
assert params['hyperparameter_domain_info'] == json_payload['hyperparameter_domain_info']
# Test arbitrary parameters get passed through
json_payload['hyperparameter_domain_info']['domain_bounds'] = []
for i in range(json_payload['hyperparameter_domain_info']['dim']):
json_payload['hyperparameter_domain_info']['domain_bounds'].append({
'min': 0.2 * i,
'max': 0.5 * i,
})
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
assert params['hyperparameter_domain_info'] == json_payload['hyperparameter_domain_info']
def test_hyperparameters_passed_through(self):
"""Test that the hyperparameters get passed through to the endpoint."""
test_case = self.gp_test_environments[0]
python_domain, python_gp = test_case
python_cov, historical_data = python_gp.get_core_data_copy()
# Test default test parameters get passed through
json_payload = json.loads(self._build_json_payload(python_domain, python_cov, historical_data))
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
T.assert_dicts_equal(params["hyperparameter_domain_info"], json_payload["hyperparameter_domain_info"])
# Test arbitrary parameters get passed through
json_payload["hyperparameter_domain_info"]["domain_bounds"] = []
for i in range(json_payload["hyperparameter_domain_info"]["dim"]):
json_payload["hyperparameter_domain_info"]["domain_bounds"].append({"min": 0.2 * i, "max": 0.5 * i})
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
T.assert_dicts_equal(params["hyperparameter_domain_info"], json_payload["hyperparameter_domain_info"])
def test_hyperparameters_passed_through(self):
"""Test that the hyperparameters get passed through to the endpoint."""
test_case = self.gp_test_environments[0]
python_domain, python_gp = test_case
python_cov, historical_data = python_gp.get_core_data_copy()
# Test default test parameters get passed through
json_payload = json.loads(self._build_json_payload(python_domain, python_cov, historical_data))
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
assert params['hyperparameter_domain_info'] == json_payload['hyperparameter_domain_info']
# Test arbitrary parameters get passed through
json_payload['hyperparameter_domain_info']['domain_bounds'] = []
for i in range(json_payload['hyperparameter_domain_info']['dim']):
json_payload['hyperparameter_domain_info']['domain_bounds'].append({
'min': 0.2 * i,
'max': 0.5 * i,
})
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
assert params['hyperparameter_domain_info'] == json_payload['hyperparameter_domain_info']
def test_optimizer_params_passed_through(self):
"""Test that the optimizer parameters get passed through to the endpoint."""
test_case = self.gp_test_environments[0]
python_domain, python_gp = test_case
python_cov, historical_data = python_gp.get_core_data_copy()
# Test default test parameters get passed through
json_payload = json.loads(self._build_json_payload(python_domain, python_cov, historical_data))
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(params)
test_param_dict = TEST_GRADIENT_DESCENT_PARAMETERS._asdict()
test_param_dict['num_multistarts'] = TEST_OPTIMIZER_MULTISTARTS
assert optimizer_parameters._get_member_dict() == test_param_dict
# Test arbitrary parameters get passed through
for i, key in enumerate(test_param_dict.iterkeys()):
test_param_dict[key] /= 2
test_num_multistarts = test_param_dict.pop('num_multistarts')
json_payload['optimizer_info']['num_multistarts'] = test_num_multistarts
json_payload['optimizer_info']['optimizer_parameters'] = test_param_dict
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(params)
test_param_dict['num_multistarts'] = test_num_multistarts
assert optimizer_parameters._get_member_dict() == test_param_dict
def test_optimizer_params_passed_through(self):
"""Test that the optimizer parameters get passed through to the endpoint."""
test_case = self.gp_test_environments[0]
python_domain, python_gp = test_case
python_cov, historical_data = python_gp.get_core_data_copy()
# Test default test parameters get passed through
json_payload = json.loads(
self._build_json_payload(python_domain, python_cov,
historical_data))
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(
params)
T.assert_equal(
optimizer_parameters.num_multistarts,
TEST_OPTIMIZER_MULTISTARTS,
)
T.assert_equal(
optimizer_parameters._python_max_num_steps,
TEST_GRADIENT_DESCENT_PARAMETERS.max_num_steps,
)
# Test arbitrary parameters get passed through
json_payload['optimizer_info'][
'num_multistarts'] = TEST_OPTIMIZER_MULTISTARTS + 5
json_payload['optimizer_info']['optimizer_parameters'][
'max_num_steps'] = TEST_GRADIENT_DESCENT_PARAMETERS.max_num_steps + 10
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(
params)
T.assert_equal(
optimizer_parameters.num_multistarts,
TEST_OPTIMIZER_MULTISTARTS + 5,
)
T.assert_equal(
optimizer_parameters._python_max_num_steps,
TEST_GRADIENT_DESCENT_PARAMETERS.max_num_steps + 10,
)
def test_optimizer_params_passed_through(self):
"""Test that the optimizer parameters get passed through to the endpoint."""
test_case = self.gp_test_environments[0]
python_domain, python_gp = test_case
python_cov, historical_data = python_gp.get_core_data_copy()
# Test default test parameters get passed through
json_payload = json.loads(
self._build_json_payload(python_domain, python_cov,
historical_data))
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(
params)
test_param_dict = TEST_GRADIENT_DESCENT_PARAMETERS._asdict()
test_param_dict['num_multistarts'] = TEST_OPTIMIZER_MULTISTARTS
assert optimizer_parameters._get_member_dict() == test_param_dict
# Test arbitrary parameters get passed through
for i, key in enumerate(iter(test_param_dict.keys())):
test_param_dict[key] /= 2
test_num_multistarts = test_param_dict.pop('num_multistarts')
json_payload['optimizer_info'][
'num_multistarts'] = test_num_multistarts
json_payload['optimizer_info'][
'optimizer_parameters'] = test_param_dict
request = pyramid.testing.DummyRequest(post=json_payload)
request.json_body = json_payload
view = GpHyperOptView(request)
params = view.get_params_from_request()
_, optimizer_parameters, num_random_samples = _make_optimizer_parameters_from_params(
params)
test_param_dict['num_multistarts'] = test_num_multistarts
assert optimizer_parameters._get_member_dict() == test_param_dict
