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Description
Its quite common that one creates some code which is needed both during training and scoring, e.g. a custom data transformer or a custom model. Then one wants to have this as a module which is available for import in both training and scoring. It would be very useful if this example repository covered that scenario, as it requires some small tweaks.
For reference, what we had to do was:
- Create a new folder under
diabetes_regression
with our stuff, e.g.diabetes_regression/awesome
- Change
diabetes_regression/scoring/inference_config.yml
so it had:
entryScript: scoring/score.py
condaFile: conda_dependencies.yml
sourceDirectory: ../
...
At the moment the inference on azure app service does not work (related issue: #279) with custom module because of import errors, which is probably fixed by either #279, or editing ml_service/util/create_scoring_image.py