https://github.com/yuanjie-ai/tuning
tuning
https://github.com/yuanjie-ai/tuning
Last synced: 2 months ago
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tuning
- Host: GitHub
- URL: https://github.com/yuanjie-ai/tuning
- Owner: yuanjie-ai
- License: mit
- Created: 2020-08-28T07:31:00.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-09-04T10:50:32.000Z (over 4 years ago)
- Last Synced: 2025-03-14T12:15:56.099Z (3 months ago)
- Language: Python
- Size: 430 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# tuning
nnictl experiment save mmTt074m -s # -s是否保存代码
# -c解压代码到指定目录
nnictl experiment load -p nni_experiment_mmTt074m.zip -c ./
https://nni.readthedocs.io/en/latest/Tutorial/ExperimentConfig.html#logdir
https://github.com/microsoft/nni/blob/v1.8/examples/notebooks/retrieve_nni_info_with_python.ipynb
- xgb
- lgb
- catboost
https://github.com/optuna/optuna/tree/master/examples
---
https://www.kaggle.com/corochann/optuna-tutorial-for-hyperparameter-optimization
https://optuna.readthedocs.io/en/latest/faq.html#how-to-define-objective-functions-that-have-own-arguments
https://github.com/optuna/optuna/blob/master/examples/pruning/xgboost_integration.py