From 9bcc975bd111229b15cc031188536597c89fb6d8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Tue, 5 May 2020 09:03:16 +0200 Subject: [PATCH] [DOCS] Simplifies footnote text in DFA APIs (#56105) Co-authored-by: Lisa Cawley --- .../ml/df-analytics/apis/put-dfanalytics.asciidoc | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc b/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc index 064f9fcce49..ca8c8722384 100644 --- a/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc +++ b/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc @@ -420,13 +420,11 @@ PUT _ml/data_frame/analytics/model-flight-delays-pre -------------------------------------------------- // TEST[skip:setup kibana sample data] -<1> The source index to analyze. +<1> Source index to analyze. <2> This query filters out entire documents that will not be present in the destination index. <3> The `_source` object defines fields in the dataset that will be included or -excluded in the destination index. In this case, `includes` does not specify any -fields, so the default behavior takes place: all the fields of the source index -will included except the ones that are explicitly specified in `excludes`. +excluded in the destination index. <4> Defines the destination index that contains the results of the analysis and the fields of the source index specified in the `_source` object. Also defines the name of the `results_field`. @@ -590,10 +588,8 @@ PUT _ml/data_frame/analytics/student_performance_mathematics_0.3 -------------------------------------------------- // TEST[skip:TBD] -<1> The `training_percent` defines the percentage of the data set that will be -used for training the model. -<2> The `randomize_seed` is the seed used to randomly pick which data is used -for training. +<1> The percentage of the data set that is used for training the model. +<2> The seed that is used to randomly pick which data is used for training. [[ml-put-dfanalytics-example-c]]