elasticsearch/docs/reference/ml/df-analytics/apis/dfanalyticsresources.asciidoc

[role="xpack"]
[testenv="platinum"]
[[ml-dfanalytics-resources]]
=== {dfanalytics-cap} job resources

{dfanalytics-cap} resources relate to APIs such as <<put-dfanalytics>> and
<<get-dfanalytics>>.	

[discrete]	
[[ml-dfanalytics-properties]]	
==== {api-definitions-title}

`analysis`::
  (object) The type of analysis that is performed on the `source`. For example: 
  `outlier_detection`. For more information, see <<dfanalytics-types>>.
  
`analyzed_fields`::
  (object) You can specify both `includes` and/or `excludes` patterns. If 
  `analyzed_fields` is not set, only the relevant fields will be included. For 
  example all the numeric fields for {oldetection}.

`dest`::
  (object) The destination configuration of the analysis. For more information, 
  see <<dfanalytics-dest-resources>>.

`id`::
  (string) The unique identifier for the {dfanalytics-job}. This identifier can 
  contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and 
  underscores. It must start and end with alphanumeric characters. This property 
  is informational; you cannot change the identifier for existing jobs.
  
`model_memory_limit`::
  (string) The approximate maximum amount of memory resources that are 
  permitted for analytical processing. The default value for {dfanalytics-jobs} 
  is `1gb`. If your `elasticsearch.yml` file contains an 
  `xpack.ml.max_model_memory_limit` setting, an error occurs when you try to 
  create {dfanalytics-jobs} that have `model_memory_limit` values greater than 
  that setting. For more information, see <<ml-settings>>.

`source`::
  (object) The source configuration, consisting of `index` and optionally a 
  `query`. For more information, see <<dfanalytics-source-resources>>.

[[dfanalytics-types]]
==== Analysis objects

{dfanalytics-cap} resources contain `analysis` objects. For example, when you
create a {dfanalytics-job}, you must define the type of analysis it performs.
  
[discrete]
[[oldetection-resources]]
===== {oldetection-cap} configuration objects 

An {oldetection} configuration object has the following properties:

[discrete]
[[oldetection-properties]]
==== {api-definitions-title}

`n_neighbors`::
  (integer) Defines the value for how many nearest neighbors each method of 
  {oldetection} will use to calculate its {olscore}. When the value is 
  not set, the system will dynamically detect an appropriate value.

`method`::
  (string) Sets the method that {oldetection} uses. If the method is not set 
  {oldetection} uses an ensemble of different methods and normalises and 
  combines their individual {olscores} to obtain the overall {olscore}. 
  Available methods are `lof`, `ldof`, `distance_kth_nn`, `distance_knn`.

`feature_influence_threshold`:: 
  (double) The minimum {olscore} that a document needs to have in order to 
  calculate its {fiscore}. 
  Value range: 0-1 (`0.1` by default).
  
[[dfanalytics-dest-resources]]
==== Dest configuration objects

{dfanalytics-cap} resources contain `dest` objects. For example, when you
create a {dfanalytics-job}, you must define its destination.

[discrete]
[[dfanalytics-dest-properties]]
==== {api-definitions-title}

`index`::
  (string) The name of the index in which to store the results of the 
  {dfanalytics-job}.

`results_field`::
  (string) The name of the field in which to store the results of the analysis. 
  The default value is `ml`.

[[dfanalytics-source-resources]]
==== Source configuration objects

The `source` configuration object has the following properties:

`index`::
  (array) An array of index names on which to perform the analysis. It can be a 
  single index or index pattern as well as an array of indices or patterns.
  
`query`::
  (object) The {es} query domain-specific language (DSL). This value
  corresponds to the query object in an {es} search POST body. All the
  options that are supported by {es} can be used, as this object is
  passed verbatim to {es}. By default, this property has the following
  value: `{"match_all": {"boost": 1}}`.