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# resume(_:)

Resumes a training session from the last checkpoint if available.

```
static func resume(_ session: MLTrainingSession<MLDecisionTreeRegressor>) throws -> MLJob<MLDecisionTreeRegressor>
```

## Parameters

`session`

Loaded or new training session.

## Return Value

A `MLJob` that can be used to observe training progress.

## Discussion

If there are no resumable checkpoints training starts over from the beginning.

---

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