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_group_results():
results = load_results(r'./../data/eng_trans_100.cPickle', zipped=False)
experiments, outcomes = results
# test indices
grouping_specifiers = {'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=grouping_specifiers)
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)
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)
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)
total_data = 0
for value in groups.values():
total_data += value[0].shape[0]
print experiments.shape[0], total_data
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)
