Showing 5 of 11 total issues
Function classification_run
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def classification_run(classifier_factory, features, point_classes,
Avoid deeply nested control flow statements. Open
Open
for chunk in r.iter_content(chunk_size=1048576):
f.write(chunk)
pbar.update(len(chunk))
Avoid deeply nested control flow statements. Open
Open
for opts in expand_values:
if opts == expanded_options:
break
elif all(o in opts for o in sliced_options):
new_exp_options['selection_copy_from'] = \
Function crossvalidation_run
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def crossvalidation_run(classifier_factory, features, features_mode,
Avoid deeply nested control flow statements. Open
Open
if 'archive_folder' in group_options['dataset']:
filename = '{}/{}'.format(
group_options['dataset']['archive_folder'],
filename
)