| import config |
| import argparse |
| from utils import * |
| from pipelines import PipelineManager |
| import warnings |
|
|
| warnings.filterwarnings("ignore") |
|
|
|
|
|
|
| if __name__ == "__main__": |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--dataset_name', type=str, default=config.Constants.dataset_name) |
| parser.add_argument('--evaluation_mode', type=str, default=config.Constants.evaluation_mode) |
| parser.add_argument('--run_preparatory_phase', type=bool, default=config.TrainingPhase.run_preparatory_phase) |
| parser.add_argument('--blocking_method', type=str, default=config.Blocking.blocking_method) |
| parser.add_argument('--seeds_num', type=int, default=config.Constants.seeds_num) |
| parser.add_argument('--dataset_size_version', type=str, default=config.Constants.dataset_size_version) |
| parser.add_argument('--vector_normalization', type=str2bool, default=True) |
| parser.add_argument('--sdr_factor', type=str2bool, default=False) |
| parser.add_argument('--neg_samples_num', type=int, default=config.Constants.neg_samples_num) |
| parser.add_argument('--bkafi_criterion', type=str, default=config.Blocking.bkafi_criterion) |
| parser.add_argument('--run_blocker_train', type=str2bool, default=False) |
| parser.add_argument('--matching_cands_generation', type=str, |
| default=config.Constants.matching_cands_generation) |
| parser.add_argument('--contamination_mode', type=str2bool, default=False) |
|
|
| args = parser.parse_args() |
| logger = define_logger() |
| print_config(logger, args) |
| result_dict = {} |
| for seed in range(1, args.seeds_num+1): |
| logger.info(f"Seed: {seed}") |
| logger.info(3*'--------------------------') |
| pipeline_manager_obj = PipelineManager(seed, logger, args) |
| result_dict[seed] = pipeline_manager_obj.result_dict |
| if not args.run_blocker_train: |
| generate_final_result_csv(result_dict, args) |
| logger.info("Done!") |
|
|
|
|
|
|
