From b4a1236cfca6f17690141f43d71cd17b9da2ad6a Mon Sep 17 00:00:00 2001 From: Qingyun Wu Date: Fri, 17 Dec 2021 01:31:00 -0500 Subject: [PATCH] [doc] Update the link to the tuning example in FLAML --- demo/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/demo/README.md b/demo/README.md index 4a16a8e9a..cf78da64e 100644 --- a/demo/README.md +++ b/demo/README.md @@ -146,7 +146,7 @@ Send a PR to add a one sentence description:) - [BayesBoost](https://github.com/mpearmain/BayesBoost) - Bayesian Optimization using xgboost and sklearn API - [FLAML](https://github.com/microsoft/FLAML) - An open source AutoML library -designed to automatically produce accurate machine learning models with low computational cost. FLAML includes [XGBoost as one of the default learners](https://github.com/microsoft/FLAML/blob/main/flaml/model.py) and can also be used as a fast hyperparameter tuning tool for XGBoost ([code example](https://github.com/microsoft/FLAML/blob/main/notebook/flaml_xgboost.ipynb)). +designed to automatically produce accurate machine learning models with low computational cost. FLAML includes [XGBoost as one of the default learners](https://github.com/microsoft/FLAML/blob/main/flaml/model.py) and can also be used as a fast hyperparameter tuning tool for XGBoost ([code example](https://microsoft.github.io/FLAML/docs/Examples/AutoML-for-XGBoost)). - [gp_xgboost_gridsearch](https://github.com/vatsan/gp_xgboost_gridsearch) - In-database parallel grid-search for XGBoost on [Greenplum](https://github.com/greenplum-db/gpdb) using PL/Python - [tpot](https://github.com/rhiever/tpot) - A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.