Comments (1)
You can subscribe to #6439 (or "watch" the repo, per https://docs.github.com/en/account-and-profile/managing-subscriptions-and-notifications-on-github/setting-up-notifications/configuring-notifications#about-participating-and-watching-notifications) to be notified when the next release goes out.
That release will include the fix for #6019.
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Related Issues (20)
- [question] desktop PC with non ECC RAM and lightGBM
- 4.5.0 isn't on the PYPI website HOT 1
- [python-package] Not able to use weight in booster.refit() HOT 3
- [R-package] Callback for change weights after iteration
- [python-package] Seeing unexpected behaviour in refit()
- Package about LIghtgbm_GPU HOT 3
- Expose `ObjectiveFunction` class to the Python API HOT 1
- Potential problem with thresholds for bins around 0 HOT 1
- Request for Native Android Apps Support for LightGBM: Android SDK or JNI Integration HOT 3
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- Feature Request: add timeout parameter to the .fit() method HOT 4
- [R-package] [gpu] Cmake version reported to be low when compiling the R package through build_r.R in Windows HOT 27
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- Inconsistent Model Results with Identical Dataset and Parameters HOT 7
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- [Bug?] [CLI] Inconsistent Results When Resuming Training from a Saved Model HOT 8
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