def test_grid_search_tuner_basic(dummy_pipeline_hyperparameters,
dummy_pipeline_hyperparameters_unicode):
tuner = GridSearchTuner(dummy_pipeline_hyperparameters)
proposed_params = tuner.propose()
assert proposed_params == {
'Mock Classifier': {
'param a': 0,
'param b': 0.0,
'param c': 'option a',
'param d': 'option a'
}
}
tuner.add(proposed_params, 0.5)
tuner = GridSearchTuner(dummy_pipeline_hyperparameters_unicode)
proposed_params = tuner.propose()
assert proposed_params == {
'Mock Classifier': {
'param a': 0,
'param b': 0.0,
'param c': 'option a 💩',
'param d': 'option a'
}
}
tuner.add(proposed_params, 0.5)
def test_grid_search_tuner_unique_values(dummy_pipeline_hyperparameters):
tuner = GridSearchTuner(dummy_pipeline_hyperparameters)
generated_parameters = []
for i in range(10):
params = tuner.propose()
generated_parameters.append(params)
assert len(generated_parameters) == 10
for i in range(10):
assert generated_parameters[i].keys() == dummy_pipeline_hyperparameters.keys()
assert generated_parameters[i]['Mock Classifier'].keys() == dummy_pipeline_hyperparameters['Mock Classifier'].keys()
def test_grid_search_tuner_space_types():
tuner = GridSearchTuner({'Mock Classifier': {'param a': (0, 10)}})
proposed_params = tuner.propose()
assert proposed_params == {'Mock Classifier': {'param a': 0}}
tuner = GridSearchTuner({'Mock Classifier': {'param a': (0, 10.0)}})
proposed_params = tuner.propose()
assert proposed_params == {'Mock Classifier': {'param a': 0}}
def test_grid_search_tuner_valid_space():
GridSearchTuner({'Mock Classifier': {'param a': 1}})
GridSearchTuner({'Mock Classifier': {'param a': "param_value"}})
tuner = GridSearchTuner({'Mock Classifier': {'param a': 3.200}})
proposed_params = tuner.propose()
assert proposed_params == {'Mock Classifier': {}}
def test_grid_search_tuner_invalid_space():
bound_error_text = "Upper bound must be greater than lower bound. Parameter lower bound is 1 and upper bound is 0"
with pytest.raises(ValueError, match=bound_error_text):
GridSearchTuner({'Mock Classifier': {'param a': (1, 0)}})
def test_grid_search_tuner_no_params(dummy_pipeline_hyperparameters_small):
tuner = GridSearchTuner(dummy_pipeline_hyperparameters_small)
error_text = "Grid search has exhausted all possible parameters."
with pytest.raises(NoParamsException, match=error_text):
for i in range(10):
tuner.propose()
def test_grid_search_tuner_raises_deprecated_random_state_warning():
with warnings.catch_warnings(record=True) as warn:
warnings.simplefilter("always")
GridSearchTuner({'Mock Classifier': {'param a': (0, 2)}}, random_state=13)
assert str(warn[0].message).startswith(
"Argument 'random_state' has been deprecated in favor of 'random_seed'")