From c063580eb68ac4e37982b74e62f76144fe20a4ef Mon Sep 17 00:00:00 2001 From: Naarcha-AWS Date: Wed, 23 Mar 2022 08:46:40 -0500 Subject: [PATCH] Fix links in ML commons index Signed-off-by: Naarcha-AWS --- _ml-commons-plugin/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_ml-commons-plugin/index.md b/_ml-commons-plugin/index.md index 55d35544..c05482ca 100644 --- a/_ml-commons-plugin/index.md +++ b/_ml-commons-plugin/index.md @@ -10,7 +10,7 @@ has_toc: false ML Commons for OpenSearch eases the development of machine learning features by providing a set of common machine learning (ML) algorithms through transport and REST API calls. Those calls choose the right nodes and resources for each ML request and monitors ML tasks to ensure uptime. This allows you to leverage existing open-source ML algorithms and reduce the effort required to develop new ML features. -Interaction with the ML commons plugin occurs through either the [REST API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api) or [AD]({{site.url}}{{site.baseurl}}/ppl/commands#ad) and [kmeans]({{site.url}}{{site.baseurl}}/observability-plugin/ppl/commands#kmeans) PPL commands. +Interaction with the ML commons plugin occurs through either the [REST API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api) or [AD]({{site.url}}{{site.baseurl}}/observability-plugin/ppl/commands#ad) and [kmeans]({{site.url}}{{site.baseurl}}/observability-plugin/ppl/commands#kmeans) PPL commands. Models [trained]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#train) through the ML Commons plugin support model-based algorithms such as kmeans. After you've trained a model enough so that it meets your precision requirements, you can apply the model to [predict]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#predict) new data safely.