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Since you're using it on this repo, I wonder how pytest-watch works and whether some mechanism like that might be useful here 🤔 I don't know how capable it is of tracing at the granularity required (as opposed to just changed files) but at a glance it seems to use watchdog under the hood. |
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Stage 2: Code-aware experiments
Use dvc experiment tracking to keep track of different versions of a project. Use kedro hooks with trace to optionally skip steps.
Pipelines will have to be run in a number of different modes:
The intention is to use dvc to manage experiment versions. This may
require additional coupling between kedro runner and dvc; however,
by default we can use dvclive
where possible to encapsulate dvc.
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