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[DOCS] Fixes, sorts ML tagged regions (#52283)

Lisa Cawley 5 years ago
parent
commit
ab139244d7
1 changed files with 13 additions and 14 deletions
  1. 13 14
      docs/reference/ml/ml-shared.asciidoc

+ 13 - 14
docs/reference/ml/ml-shared.asciidoc

@@ -644,23 +644,9 @@ 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
@@ -920,6 +906,13 @@ 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 
@@ -1064,6 +1057,12 @@ 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::timeout-start[]
 Controls the amount of time to wait until the {dfanalytics-job} starts. Defaults 
 to 20 seconds.