def test_example_runs_with_non_default_optimizer_kwargs(self):
"""Simple integration test for example with non default kwargs."""
run_example(
num_to_sample=1,
verbose=False,
testapp=self.testapp,
gp_next_points_kwargs={
'optimizer_info': {
'num_multistarts':
TEST_OPTIMIZER_MULTISTARTS,
'num_random_samples':
TEST_OPTIMIZER_NUM_RANDOM_SAMPLES,
'optimizer_parameters':
TEST_GRADIENT_DESCENT_PARAMETERS._asdict(),
}
},
gp_hyper_opt_kwargs={
'optimizer_info': {
'num_multistarts':
TEST_OPTIMIZER_MULTISTARTS,
'num_random_samples':
TEST_OPTIMIZER_NUM_RANDOM_SAMPLES,
'optimizer_parameters':
TEST_GRADIENT_DESCENT_PARAMETERS._asdict(),
}
},
gp_mean_var_kwargs={},
rest_port=1337,
)
def test_example_runs(self):
"""Simple integration test for example."""
run_example(
num_to_sample=1,
verbose=False,
testapp=self.testapp,
optimizer_info={
'num_multistarts': TEST_OPTIMIZER_MULTISTARTS,
'num_random_samples': TEST_OPTIMIZER_NUM_RANDOM_SAMPLES,
'optimizer_parameters': TEST_GRADIENT_DESCENT_PARAMETERS._asdict(),
})
def test_example_runs_with_non_default_optimizer_kwargs(self):
"""Simple integration test for example with non default kwargs."""
run_example(
num_to_sample=1,
verbose=False,
testapp=self.testapp,
gp_next_points_kwargs={
'optimizer_info': {
'num_multistarts': TEST_OPTIMIZER_MULTISTARTS,
'num_random_samples': TEST_OPTIMIZER_NUM_RANDOM_SAMPLES,
'optimizer_parameters': TEST_GRADIENT_DESCENT_PARAMETERS._asdict(),
}
},
gp_hyper_opt_kwargs={
'optimizer_info': {
'num_multistarts': TEST_OPTIMIZER_MULTISTARTS,
'num_random_samples': TEST_OPTIMIZER_NUM_RANDOM_SAMPLES,
'optimizer_parameters': TEST_GRADIENT_DESCENT_PARAMETERS._asdict(),
}
},
gp_mean_var_kwargs={},
rest_port=1337,
)
