contributor_breadth_model task needs checkpoints
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- Python
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Description
I am running a development instance on my laptop with a couple large repositories added for collection.
This means when i first start the instance I begin seeing log lines like `Processing cntrb XXXX of 31411`.
Sometimes the instance gets to ~25k events before i have to restart the instance, causing it to start over.
Is there a way we can implement this task to run in batches so that future runs can pick up approximately where a previous run left off?
This will require some deeper analysis to determine feasibility
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