From 40b58e612db1f4ca3670d46b96c636606db9639b Mon Sep 17 00:00:00 2001
From: Lisa Cawley <lcawley@elastic.co>
Date: Wed, 12 Feb 2020 13:43:21 -0800
Subject: [PATCH] [DOCS] Fixes, sorts ML tagged regions (#52283)

---
 docs/reference/ml/ml-shared.asciidoc | 27 +++++++++++++--------------
 1 file changed, 13 insertions(+), 14 deletions(-)

diff --git a/docs/reference/ml/ml-shared.asciidoc b/docs/reference/ml/ml-shared.asciidoc
index 893bf0c9e484b..0ec04e8087e78 100644
--- a/docs/reference/ml/ml-shared.asciidoc
+++ b/docs/reference/ml/ml-shared.asciidoc
@@ -642,23 +642,9 @@ to `false`. When `true`, only a single model must match the ID patterns
 provided, otherwise a bad request is returned.
 end::include-model-definition[]
 
-tag::tags[]
-A comma delimited string of tags. A {infer} model can have many tags, or none.
-When supplied, only {infer} models that contain all the supplied tags are
-returned.
-end::tags[]
-
 tag::indices[]
 An array of index names. Wildcards are supported. For example:
 `["it_ops_metrics", "server*"]`.
-
-tag::num-top-feature-importance-values[]
-Advanced configuration option. If set, feature importance for the top
-most important features will be computed. Importance is calculated
-using the SHAP (SHapley Additive exPlanations) method as described in
-https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf[Lundberg, S. M., & Lee, S.-I. A Unified Approach to Interpreting Model Predictions. In NeurIPS 2017.].
-end::num-top-feature-importance-values[]
-
 +
 --
 NOTE: If any indices are in remote clusters then `cluster.remote.connect` must
@@ -918,6 +904,13 @@ total number of categories (in the {version} version of the {stack}, it's two)
 to predict then we will report all category probabilities. Defaults to 2.
 end::num-top-classes[]
 
+tag::num-top-feature-importance-values[]
+Advanced configuration option. If set, feature importance for the top
+most important features will be computed. Importance is calculated
+using the SHAP (SHapley Additive exPlanations) method as described in
+https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf[Lundberg, S. M., & Lee, S.-I. A Unified Approach to Interpreting Model Predictions. In NeurIPS 2017.].
+end::num-top-feature-importance-values[]
+
 tag::over-field-name[]
 The field used to split the data. In particular, this property is used for 
 analyzing the splits with respect to the history of all splits. It is used for 
@@ -1062,6 +1055,12 @@ function.
 --
 end::summary-count-field-name[]
 
+tag::tags[]
+A comma delimited string of tags. A {infer} model can have many tags, or none.
+When supplied, only {infer} models that contain all the supplied tags are
+returned.
+end::tags[]
+
 tag::time-format[]
 The time format, which can be `epoch`, `epoch_ms`, or a custom pattern. The
 default value is `epoch`, which refers to UNIX or Epoch time (the number of