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Related Issues (20)
- The more training rounds, the lower the GPU usage rate HOT 5
- [ci] [R-package] clang16 CI jobs failing: "error: templates must have C++ linkage"
- [ci] try upgrading macOS Python-package jobs to gcc-14
- [Bug?] [CLI] Inconsistent Results When Resuming Training from a Saved Model HOT 8
- [R-package] [BUG] Using `lgb.train()` with `booster = "dart"` gives warning regardless of `early_stopping_rounds` value HOT 5
- Being able to do Prediction (task=prediction) on bin files. HOT 1
- [Feature] Add statistics to the plot from a dataset, its labels and predictions HOT 1
- [Question] predict_leaf_index = true HOT 2
- [Question] lambdarank and the label_gain parameters HOT 2
- Custom median objective function in lightgbm.cv() HOT 11
- Training fails bagging_freq > 1 and bagging_fraction is very small HOT 8
- [ci] [R-package] macOS clang CMake jobs failing with segfaults HOT 7
- Enhancing the Flexibility of Linear Models in Leaf Nodes of Boosted Linear Trees HOT 1
- [python-package] Using sparse features with CUDA is currently not supported. HOT 1
- Share LightGBM categorical variable representation across multiple columns HOT 2
- How does "label_gain" affect evaluation metrics: Relative or Absolute? HOT 1
- [ci] AzureDevops jobs failing: NoSpaceLeftError: No space left on devices. HOT 1
- pos_bagging_fraction and neg_bagging_fraction are not working as they should
- [python-package] verbosity doesn't work when using customized objective HOT 2
- Custom loss for multiclass classification HOT 1
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