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Augment InvalidTargetDataCheck to check for mismatched indices in target and training data
See original GitHub issueThis fell out of https://github.com/alteryx/evalml/issues/1723. My guess is that this would fit best in InvalidTargetDataCheck but open to suggestions.
We’ve seen a few cases where indices cause bugs (imputer, encoder, etc). It could be a good idea to warn users if their data has mismatched indices, since that could leave to unexpected behavior. For example, pandas could try to backfill some indices and introduce NaN and cause errors while modelling.
@freddyaboulton FYI 😀
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (3 by maintainers)
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@angela97lin Yea, this isn’t blocked by #1723!
@freddyaboulton Correct me if I’m wrong, but I don’t think this is is blocked on #1723, which I noticed you picked up? If that’s true, I can pick this up and work on it concurrently 😃)