Comments (1)
jameslamb
commented on July 21, 2024
Thanks for using LightGBM and for your work repackaging it for FreeBSD.
To run the C++ tests for this project, run the following from the root of the repo:
cmake -B build -S . -DBUILD_CPP_TEST=ON
cmake --build build --target testlightgbm -j4
./testlightgbmI suspect you're running them from a different working directory, as LightGBM's CI jobs did prior to #6368.
As I said the last time you opened a report like this, it's really difficult to help with only a bit of logs and a version number (#5976 (comment)). The next time you open a report like this here, please provide enough information for us to reproduce the issue (like the exact commands you ran).
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Related Issues (20)
- Error while using "LightGMB" on Fabric HOT 1
- [ci] enforce 'shellcheck' checks
- LightGBM\include\LightGBM/utils/common.h(33,10): fatal error C1083: Cannot open include file: 'fast_double_pa rser.h': No such file or directory HOT 6
- unclear how to prepare data for `lambdarank_position_bias_regularization` option HOT 3
- Integration of lightgbmmodeloptimizer package HOT 4
- [ci] aarch64 python-package job failing: "cannot allocate memory in static TLS block" HOT 15
- [python-package] [gpu] GPU install on Windows fails HOT 2
- [python-package] Training data partially available when loading exported lgb.Dataset HOT 9
- [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 8
- [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
- [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
- `runtime error: member call on address 0x612000003ad8 which does not point to an object of type 'std::streambuf'` in macOS cpp_tests CI job
- `OSError: [WinError 122] The data area passed to a system call is too small` in Windows bdist CI job HOT 1
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