From a0db3c4ca81fb7ac43bbefd76883701983734023 Mon Sep 17 00:00:00 2001 From: Lisa Cawley Date: Thu, 8 Nov 2018 09:26:50 -0800 Subject: [PATCH] [DOCS] Adds data visualizer restriction (#25399) --- docs/ml/creating-jobs.asciidoc | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/docs/ml/creating-jobs.asciidoc b/docs/ml/creating-jobs.asciidoc index 4d9715736b89..afca09b38a37 100644 --- a/docs/ml/creating-jobs.asciidoc +++ b/docs/ml/creating-jobs.asciidoc @@ -36,16 +36,20 @@ image::ml/images/ml-data-recognizer.jpg[A screenshot of the Apache and NGINX job If you are not certain which type of job to create, you can use the *Data Visualizer* to learn more about your data and to identify possible fields -for {ml} analysis. +for {ml} analysis. [role="screenshot"] image::ml/images/ml-data-visualizer.jpg[A screenshot of the Data Visualizer option when creating new jobs] -NOTE: If your data is located outside of {es}, you cannot use {kib} to create +[NOTE] +=============================== +* If your index pattern does not contain a time field, you cannot use the *Data Visualizer*. +* If your data is located outside of {es}, you cannot use {kib} to create your jobs and you cannot use {dfeeds} to retrieve your data in real time. Machine learning analysis is still possible, however, by using APIs to create and manage jobs and post data to them. For more information, see {ref}/ml-apis.html[Machine Learning APIs]. +=============================== Ready to get some hands-on experience? See {xpack-ref}/ml-getting-started.html[Getting Started with Machine Learning].