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[docs] Add FLAML for efficient hyperparameter optimization #4013

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merged 5 commits into from
Feb 24, 2021

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qingyun-wu
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@jameslamb jameslamb left a comment

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Thanks very much! Looks like an interesting project. Please just see two small suggestions I left.

README.md Outdated
@@ -42,7 +42,7 @@ Next you may want to read:
- [**Parameters**](https://github.com/microsoft/LightGBM/blob/master/docs/Parameters.rst) is an exhaustive list of customization you can make.
- [**Distributed Learning**](https://github.com/microsoft/LightGBM/blob/master/docs/Parallel-Learning-Guide.rst) and [**GPU Learning**](https://github.com/microsoft/LightGBM/blob/master/docs/GPU-Tutorial.rst) can speed up computation.
- [**Laurae++ interactive documentation**](https://sites.google.com/view/lauraepp/parameters) is a detailed guide for hyperparameters.
- [**Optuna Hyperparameter Tuner**](https://medium.com/optuna/lightgbm-tuner-new-optuna-integration-for-hyperparameter-optimization-8b7095e99258) provides automated tuning for LightGBM hyperparameters ([code examples](https://github.com/optuna/optuna/blob/master/examples/)).
- [**Optuna Hyperparameter Tuner**](https://medium.com/optuna/lightgbm-tuner-new-optuna-integration-for-hyperparameter-optimization-8b7095e99258) ([code examples](https://github.com/optuna/optuna/blob/master/examples/)) and [**FLAML**](https://www.microsoft.com/en-us/research/project/fast-and-lightweight-automl-for-large-scale-data/articles/flaml-a-fast-and-lightweight-automl-library/) ([code examples](https://github.com/microsoft/FLAML/blob/main/notebook/flaml_lightgbm.ipynb)) provide automated tuning for LightGBM hyperparameters.
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could you please put FLAML on its own line here?

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done. thanks!

@@ -7,7 +7,7 @@ This page contains parameters tuning guides for different scenarios.

- `Parameters <./Parameters.rst>`__
- `Python API <./Python-API.rst>`__
- `Optuna`_ for automated hyperparameter tuning
- `Optuna`_ and `FLAML <https://github.com/microsoft/FLAML>`__ for automated hyperparameter tuning
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could you please put FLAML on its own line here?

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done

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LGTM, very nice indeed! Just two nits below.
Good luck with the package!

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qingyun-wu and others added 2 commits February 23, 2021 16:26
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
@StrikerRUS StrikerRUS changed the title Add FLAML for efficient hyperparameter optimization [docs] Add FLAML for efficient hyperparameter optimization Feb 24, 2021
@jameslamb jameslamb merged commit 6356e65 into microsoft:master Feb 24, 2021
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This pull request has been automatically locked since there has not been any recent activity since it was closed. To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues including a reference to this.

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3 participants