def test_group_results():
results = test_utilities.load_eng_trans_data()
experiments, outcomes = results
# test indices
groups = {'set1':np.arange(0,11),
'set2':np.arange(11,25),
'set3':np.arange(25,experiments.shape[0])}
groups = group_results(experiments, outcomes,
group_by='index',
grouping_specifiers=groups.values(),
grouping_labels= groups.keys())
total_data = 0
for value in groups.values():
total_data += value[0].shape[0]
print(experiments.shape[0], total_data)
# test continuous parameter type
array = experiments['average planning and construction period T1']
grouping_specifiers = make_continuous_grouping_specifiers(array, nr_of_groups=5)
groups = group_results(experiments, outcomes,
group_by='average planning and construction period T1',
grouping_specifiers=grouping_specifiers,
grouping_labels = [str(entry) for entry in grouping_specifiers])
total_data = 0
for value in groups.values():
total_data += value[0].shape[0]
print(experiments.shape[0], total_data)
# test integer type
array = experiments['seed PR T1']
grouping_specifiers = make_continuous_grouping_specifiers(array, nr_of_groups=10)
groups = group_results(experiments, outcomes,
group_by='seed PR T1',
grouping_specifiers=grouping_specifiers,
grouping_labels = [str(entry) for entry in grouping_specifiers])
total_data = 0
for value in groups.values():
total_data += value[0].shape[0]
print(experiments.shape[0], total_data)
# test categorical type
grouping_specifiers = set(experiments["policy"])
groups = group_results(experiments, outcomes,
group_by='policy',
grouping_specifiers=grouping_specifiers,
grouping_labels = [str(entry) for entry in grouping_specifiers])
total_data = 0
for value in groups.values():
total_data += value[0].shape[0]
print(experiments.shape[0], total_data)
def test_make_continuous_grouping_specifiers():
array = np.random.randint(1, 100, size=(1000, ))
categories = make_continuous_grouping_specifiers(array, nr_of_groups=10)
for entry in categories:
print(repr(entry))
print(np.min(array), np.max(array))
def test_make_continuous_grouping_specifiers():
array = np.random.randint(1,100, size=(1000,))
categories = make_continuous_grouping_specifiers(array, nr_of_groups=10)
for entry in categories:
print(repr(entry))
print(np.min(array), np.max(array))
