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PLA-10206: User configure auto ml #780
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| # We never exposed saving a model without training, so we should | ||
| # continue to do it automatically. | ||
| return self._train(predictor.uid) | ||
| # If the initial response is invalid, just return it |
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@anoto-moniz We will never actually hit the .failed() branch until the API bug fix is in, but the logic is correct and tested for now.
kroenlein
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I didn't see a test verifying that an arbitrary string is not a valid AutoMLEstimator. Intentional?
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LGTM. Get an e2e in there when you get a chance.
Citrine Python PR
Adds support to configure estimator types for AutoML.
PR Type:
Adherence to team decisions