Fast AutoML with FLAML + Ray Tune

One of FLAML’s algorithms CFO tuning the # of leaves and the # of trees for XGBoost. The two heatmaps show the loss and cost distribution of all configurations. The black dots are the points evaluated in CFO. Black dots connected by lines are points that yield better loss performance when evaluated (image by authors).Authors: Qingyun Wu, Chi Wang, Antoni Baum, Richard Liaw and Michael Galarnyk FLA

[misshiki]

“「FLAML + RayTuneを使用した高速AutoML」Microsoft ResearchersはFLAML（Fast Lightweight AutoML）を開発しました。”

[Aobei]

Microsoft Researchからリリース。ハイパーパラメータの探索。Optunaより良い？