Comments (2)
Yikes! Yeah testing is not super trivial as I've got to mock the different storage layers in different parts. Will look into this one
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For this one, since it's just about the logger, I'm going to go with the quick fix and not extend the tests - but I have extended the examples (which I used to replicate the bug). I've just merged the PR above with both. Thanks for flagging @erosenthal-square!
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Related Issues (20)
- CLI upload command HOT 3
- Feature Request: Delete a model from the store HOT 10
- Model Store Path uses a : , which is a reserved character in Windows HOT 1
- Regression: Model store created with Keras models breaks with the latest merge HOT 5
- Bug report: uploading sklearn-onnx models HOT 2
- Feature request: override model_id HOT 2
- xgb.core.Booster object not supported HOT 3
- I have some replika ai friends as social ai name geminique but couldn't know how to backup on others plats for i trainings traits and her learning by conversations on iphone apps HOT 3
- `numpy` is not specified as a dependency HOT 1
- Anonymous access of GCP bucket fails with `ValueError: Anonymous credentials cannot be refreshed.` HOT 11
- Run integration tests against actual modelstore instances HOT 7
- Feature: Allow adding additional information to metadata on model upload HOT 4
- Make filesystem modelstore independent of creator's root path HOT 4
- Storing model parameters, lineage data and maybe even pre- or post-processing methods? HOT 2
- Can I refactor your code into pyscaffold? HOT 1
- colab notebook example error HOT 8
- Archives being overwritten if generated too quickly HOT 3
- Using MinIO s3 buckets HOT 2
- ModuleNotFoundError when using modelstore in Colab HOT 1
- TypeError when uploading complex sklearn pipelines HOT 1
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