def create_batch_anomaly_score(self, anomaly, dataset,
                                   args=None, wait_time=3, retries=10):
        create_args = {}
        if args is not None:
            create_args.update(args)

        origin_resources_checked = self.check_origins(
            dataset, anomaly, create_args, model_types=[ANOMALY_PATH],
            wait_time=wait_time, retries=retries)

        if origin_resources_checked:
            body = json.dumps(create_args)
            return self._create(self.batch_anomaly_score_url, body)
loads a module as configuration given a module path
dataset/ETHPy150Open bigmlcom/python/bigml/batchanomalyscorehandler.py/BatchAnomalyScoreHandler.create_batch_anomaly_score--crossover with--dataset/ETHPy150Open progrium/ginkgo/ginkgo/config.py/Config.load_module