From 9e2eb200dfd33ec8fc24f7b1f4bf3f1d45aee38e Mon Sep 17 00:00:00 2001 From: badjouras <47984759+badjouras@users.noreply.github.com> Date: Thu, 25 May 2023 03:23:54 +0100 Subject: [PATCH] =?UTF-8?q?docs:=20=F0=9F=93=9D=20Fix=20link=20to=20instal?= =?UTF-8?q?lation=20section=20in=20Task-Oriented-AutoML.md=20(#1051)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: rcardoso Co-authored-by: Chi Wang --- website/docs/Use-Cases/Task-Oriented-AutoML.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/Use-Cases/Task-Oriented-AutoML.md b/website/docs/Use-Cases/Task-Oriented-AutoML.md index 6848d170c..a5e6a98d6 100644 --- a/website/docs/Use-Cases/Task-Oriented-AutoML.md +++ b/website/docs/Use-Cases/Task-Oriented-AutoML.md @@ -414,7 +414,7 @@ To do parallel tuning with Spark, install the `spark` and `blendsearch` options: pip install flaml[spark,blendsearch]>=1.1.0 ``` -For more details about installing Spark, please refer to [Installation](../Installation#Distributed-tuning). +For more details about installing Spark, please refer to [Installation](../Installation#distributed-tuning). An example of using Spark for parallel tuning is: ```python