AdamBarnhard
commented
4 years ago Related feedback from L.R.:
- It might be helpful to add a bit more detail around how whisk is different from similar projects (if applicable)
- It might be helpful to explain the use cases that whisk is and is not intended for. For example, whisk doesn’t seem like the right tool for managing the data pipelines / ML workflows to retrain models in production or make batch inferences
- It seems like model retraining could be managed using src/features and src/models combined with a task orchestration platform like Airflow, but that doesn’t seem like the primary use case
I've seen a few OSS projects that have a "why X" section that is helpful to give an intro into the project. Im thinking we add a quick one to the readme and potentially a section to the docs as well.