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Comments (4)

dberenbaum avatar dberenbaum commented on June 3, 2024

Could you provide a simplified dvc.yaml to clarify how your pipeline is set up?

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EvanKomp avatar EvanKomp commented on June 3, 2024

@dberenbaum

stages:
  preprocess:
    cmd:  ./prepare.sh
    outs:
      - ./data/preprocessing/
  predict:
    cmd ./predict.sh
    params:
      - model_type       # One of A, B, C
    deps:
      - ./data/preprocessing/       # THIS ONLY NEEDS TO BE A DEPENDANCY OF `model_type` in [A, B]
    outs:
      - ./data/predictions/

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dberenbaum avatar dberenbaum commented on June 3, 2024

Unfortunately, I can't think of a good way to do it without creating separate stages/pipelines. If you have some idea of what you would want it to look like, feel free to suggest it here.

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EvanKomp avatar EvanKomp commented on June 3, 2024

Affirmative. Thanks for your work. I think expanding on the yaml like you would with a cache tag would be best. eg.

stages:
  preprocess:
    cmd:  ./prepare.sh
    outs:
      - ./data/preprocessing/
  predict:
    cmd ./predict.sh
    params:
      - model.model_type       # One of A, B, C
    deps:
      - ./data/preprocessing/:

# conditioning syntax
           conditions: # these are executable strings with params as local namespace
             - 'model.model_type in ["A", "B"]


    outs:
      - ./data/predictions/

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