Comments (3)
Great, thanks! You can open a draft pull request and then use comments on there to ask questions.
from lightgbm.
Thanks for the report.
Are you interested in contributing a fix?
from lightgbm.
Are you interested in contributing a fix?
I'll be glad to help :)
from lightgbm.
Related Issues (20)
- [CUDA] illegal memory access when using CUDA and large max_bin and large dataset HOT 1
- [python-package] using lgb.Booster(model_file='model.txt') hangs when loading gbdt regression model HOT 9
- [python-package] How to pass additional attributes to custom eval or loss functions in regression task? HOT 8
- [python-package] ValueError when using scikit-learn API for multiclass binary classification HOT 2
- [RFC] Sync supported CUDA versions with a new support policy for CUDA Container Images HOT 1
- [R-package] CRAN warnings on gcc-14 HOT 1
- [GPU] GPU trainer takes more time than CPU's HOT 5
- [GPU] [performance] LightGBM Running Significantly Slower Than XGBoost on GPU for Classification Task HOT 6
- Extremely slow data loading on high dimensional dataset.
- [R-package], [GPU], Windows10, install error HOT 1
- `runtime error: member call on address 0x612000003ad8 which does not point to an object of type 'std::streambuf'` in macOS cpp_tests CI job HOT 3
- `OSError: [WinError 122] The data area passed to a system call is too small` in Windows bdist CI job HOT 4
- tests failed HOT 5
- [ci] [R-package] clang18 jobs failing: _mm_malloc compilation errors HOT 2
- [GPU][CUDA] Add support for linear tree with device=gpu, device=cuda
- Roadmap link does not work on the CONTRIBUTING.md file HOT 1
- Can't read old models saved with saveRDS.lgb.Booster on version 4.3.0 of lightgbm HOT 3
- After saving the datasets to disk, training with validation on the test set doesn't work (bins mapper issue) HOT 1
- [question] desktop PC with non ECC RAM and lightGBM
- 4.5.0 isn't on the PYPI website HOT 1
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