casassg edited a comment on pull request #12228:
URL: https://github.com/apache/airflow/pull/12228#issuecomment-749146353
You mean something like:
```py
@dag
def movielens_hpt(dataset_path: str, feature_list:list=['year', 'director']):
dataset = load_dataset(dataset_path)
# NEW HERE
for i in range(0.1, 0.9, step=0.1):
with dag.taskgroup(f'pipeline_{i}'):
movielens_model_pipeline(i, feature_list, dataset)
decide_best_model(...)
```
I think this could work. I think it would be fun to have it be generated
automatically for you, but agree that both approaches make sense.
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