Comments (2)
I don't think it has anything to do with caching. Seems to be related to this long standing issue:
jupyter/nbconvert#1066
The developer said he might get around to fix it some time soon, maybe we can just wait and restart the failing pipelines when this happens for the moment? Doesn't seem to happen all too often
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I got the same error while running two pipelines in parallel. While the first build was sucessful, the second one failed with the error message above. Rerunning the second build (after the first one finished) was sucessful. I will try to reproduce this behavior.
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Related Issues (20)
- Fix publish package github workflow HOT 1
- Generalize SpanningTree and graph-related methods HOT 2
- Support passing separate validation data set to pytorch-lightning based models HOT 12
- Notebook Test Failure: PyTorch-Lightning ImportError HOT 2
- Rule-Based Models' fit interface
- Notebook test failure due to TypeError in nbconvert HOT 1
- Simplify/improve naming of evaluator/evaluation utility classes HOT 1
- Add tests for evaluation util classes
- Add tests for regression models HOT 1
- Add backwards compatibility tests from v0 to v1 HOT 1
- Update notebooks to v1 and re-enable them for the docs build
- Parallelize ModelEvaluation.compare_models HOT 1
- Expose default eval metrics to user
- More explicit log and progress bar in ModelEvaluation.compare_models HOT 1
- Add to_feature_generator to ColumnGenerator HOT 1
- "Vectorize" ColumnGeneratorCachedByIndex HOT 2
- Add InMemoryPersistentKeyValueCache HOT 2
- Support pandas 2 HOT 1
- support test_io_data_dict in MultiDataModelEvaluation
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