def get_all_results(ranker_type, filter_type, provider_type):
res_ser = pd.Series()
for proj in projects.get_siemens_projects():
ver_to_score = get_total_scores(proj, ranker_type, filter_type,
provider_type)
ver_to_score.rename(lambda n: proj + "-" + n, inplace=True)
res_ser = res_ser.append(ver_to_score)
bin_to_count_ser = get_bin_to_count(res_ser)
return res_ser, bin_to_count_ser
def main():
parser = argparse.ArgumentParser()
parser.add_argument("project_name", help="Name of project")
args = parser.parse_args()
if args.project_name == "all":
for p in projects.get_siemens_projects():
print(p)
feature_computer.compute_features(p)
else:
feature_computer.compute_features(args.project_name)
