microsoft / LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
https://lightgbm.readthedocs.io/en/latest/
MIT License
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[R-package] Export callback functions #2479

Open jameslamb opened 4 years ago

jameslamb commented 4 years ago

See this comment and this comment thread from #2443 . Currently the functions in callback.R are not exported in the R package. This means that the use of callbacks keyword argument in lgb.train() is unclear.

To close this issue, submit a PR with the following features

jameslamb commented 4 years ago

Closing this in favor of being in #2302 . We keep all feature requests in #2302 . If you'd like to pick this issue up and submit a PR, please do and it can be re-opened.

StrikerRUS commented 2 years ago

Open because of active PR #5018 for this issue.

jameslamb commented 1 year ago

PR #5018 has been closed. Since there's no active work going on for this feature, I'm going to close this issue.

Anyone interested in this feature is welcome to contribute it! If you'd like to contribute this, comment here and the issue can be re-opened. Maintainers will be happy to help you.

github-actions[bot] commented 10 months ago

This issue has been automatically locked since there has not been any recent activity since it was closed. To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues including a reference to this.