Comments (2)
Thanks for using LightGBM.
In the Python package, each evaluation dataset is monitored individually, and early stopping can be triggered based on any one of them. You may want to subscribe to notifications #6424 and #6360 to keep up with potential changes to allow finer control of that behavior.
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Clear explanation, thank you.
from lightgbm.
Related Issues (20)
- Any suggestions for predicting all values to be 0? HOT 1
- [python-package] How to refit a classifier? HOT 4
- Uncertainty in LightGBM (again) HOT 4
- Can not predict with multithread? HOT 5
- [ci] CUDA 11.8 wheel (gcc) CI jobs failing: 'libomp.so.5: no such file or directory'
- [GPU] lightgbm.basic.LightGBMError: Check failed: (best_split_info.left_count) > (0), lightgbm.basic.LightGBMError: Check failed: (best_split_info.right_count) > (0)
- [docs] add recommendations on memory management / reducing memory usage
- Windows 7 runtime error HOT 3
- [python-package] reset_parameter() segfaults when passing an unrecognized parameter HOT 3
- Inquiry about Release Date for GPU Training Bug "bin size 257" FIX HOT 1
- [ci] [R-package] Add a CI job testing the R package on arm64 macOS
- Tests fail to open the file examples/binary_classification/binary.test HOT 1
- [c++] Segmentation fault when use parallel_tree_learner method when number of categories of one feature larger than 28 (default max_cat_to_onehot-4).
- 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 2
- Integration of lightgbmmodeloptimizer package HOT 2
- [ci] aarch64 python-package job failing: "cannot allocate memory in static TLS block" HOT 1
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from lightgbm.