Comments (2)
PhilipMay
commented on May 23, 2024
Does not work. Most values are only known at the end and not at the beginning.
Closing...
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PhilipMay
commented on May 23, 2024
reopen again - should work for some values
logging at the beginning is good because otherwise exceptions might skip logging
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Related Issues (20)
- Normalize Metric (and other names)
- improve string usage like some lines below HOT 1
- Provide more run status info
- Log info about enqued Optuna trials to MLflow
- This needs to be reset after a trial is done HOT 3
- Investigate race condition when 2 MLflow experiments are started at the same time under the same name
- use set_tags with dict
- Limit str. length of optuna user attributes HOT 1
- Use smarter logging
- Extend optuna wrapper for `trial.report` and `trial.should_prune` HOT 1
- Add logging to "should prune"
- optuna pruner: handle the last fold
- add correct version to scipy -
- Feature Suggestion: Transformers OMLflow Callback HOT 5
- Add copyright to transformers integration script HOT 9
- Add copyright to all script headers
- Add copyright to keras.py HOT 1
- Remove redundant code from mltb HOT 1
- Use scikit-learn instead of sklearn.
- LogisticRegression.fit
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