if __name__ == "__main__": args = parse_arg() logger = Utils.init_logger(args.task_name) model_dir = './.models' child_dir = f'{args.project_name}_{args.task_name}' working_dir = Path(__file__).parent.resolve() logger.info('実験設定') cm = ConfigManager() # configの保存先ディレクトリは,推論側の都合上固定している. config_path_wo_datetime = \ working_dir.joinpath('config_outputs', args.config_name) cm.create_config(config_path_wo_datetime) config_path = cm.dst_path s3_dst_info = { 's3_config': { 'aws_profile': args.profile, 'bucket_name': args.output_s3bucket, 'path_s3_dst': child_dir } } cm.add_info(config_path, s3_dst_info) logger.info('学習データのロード') train_df = load_train_data(args.input_path) logger.info('前処理・特徴量エンジニアリング') pp = PreProcessor(config_path=config_path, mode='train', label='Survived')