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re re-training: you can add an on_finish hook that evaluates the validation performance. if it isn't good enough, you can raises an EarlyStop error. This way the DAG will abort execution gracefully: there is an example here that uses the Python API but it works the same with a pipeline.yaml https://docs.ploomber.io/en/latest/api/_modules/executors/ploomber.executors.Serial.html#ploomber-executors-serial re dbt: I don't have experience with dbt but sounds like a great idea for a blog post or an example. happy to help you!