Comments (1)
Closing, since fixed with #24
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Related Issues (20)
- Add `plot_rank` and `plot_timeline` to visualisation examples HOT 2
- Trial Fail HOT 1
- Optuna DDP with Slurm Cluster HOT 1
- License of the optuna-examples repo? HOT 2
- optuna.integration.XGBoostPruningCallback is not xgboost TrainingCallback HOT 2
- Updating the PyTorch Lightning example to >= 2.0 HOT 5
- Pruning Not Working in Pytorch HOT 1
- Support Lighting instead/besides Pytorch Lighting HOT 1
- Flax example HOT 2
- optuna-examples/xgboost /xgboost_integration.py error HOT 1
- Add `README.md` to `./dashboard` HOT 3
- Pruning only on some models? HOT 2
- Add Python 3.12 to the CI HOT 8
- Add README to each directory if it contains multiple examples HOT 2
- XGBoost callback problem HOT 2
- The problem of DDP training with pytorch lightning HOT 1
- NSGAIISampler number trials per generation HOT 1
- intermediate values and objective value use different metrics in `LightGBMPruningCallback` HOT 2
- Switch to NSGA sampler after initial trials with custom sampler HOT 1
- Different results in Optuna best value and re-train HOT 3
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