[DOCS] Identify informational ML properties (elastic/x-pack-elasticsearch#3773)
Original commit: elastic/x-pack-elasticsearch@cb310b360d
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@ -9,7 +9,6 @@ A {dfeed} resource has the following properties:
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Support for aggregations is limited and should only be used with
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low cardinality data. For more information, see
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{xpack-ref}/ml-configuring-aggregation.html[Aggregating Data for Faster Performance].
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//<<ml-configuring-aggregation>>.
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`chunking_config`::
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(object) Specifies how data searches are split into time chunks.
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@ -18,6 +17,8 @@ A {dfeed} resource has the following properties:
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`datafeed_id`::
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(string) A numerical character string that uniquely identifies the {dfeed}.
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This property is informational; you cannot change the identifier for existing
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{dfeeds}.
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`frequency`::
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(time units) The interval at which scheduled queries are made while the
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@ -88,7 +89,8 @@ A chunking configuration object has the following properties:
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==== {dfeed-cap} Counts
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The get {dfeed} statistics API provides information about the operational
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progress of a {dfeed}. For example:
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progress of a {dfeed}. All of these properties are informational; you cannot
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update their values:
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`assignment_explanation`::
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(string) For started {dfeeds} only, contains messages relating to the
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@ -26,7 +26,8 @@ so do not set the `background_persist_interval` value too low.
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--
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`create_time`::
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(string) The time the job was created. For example, `1491007356077`.
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(string) The time the job was created. For example, `1491007356077`. This
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property is informational; you cannot change its value.
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`custom_settings`::
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(object) Advanced configuration option. Contains custom meta data about the
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@ -47,7 +48,8 @@ so do not set the `background_persist_interval` value too low.
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`finished_time`::
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(string) If the job closed or failed, this is the time the job finished,
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otherwise it is `null`.
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otherwise it is `null`. This property is informational; you cannot change its
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value.
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`groups`::
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(array of strings) A list of job groups. A job can belong to no groups or
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@ -56,7 +58,8 @@ so do not set the `background_persist_interval` value too low.
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`job_id`::
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(string) The unique identifier for the job. This identifier can contain
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lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It
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must start and end with alphanumeric characters.
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must start and end with alphanumeric characters. This property is
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informational; you cannot change the identifier for existing jobs.
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`job_type`::
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(string) Reserved for future use, currently set to `anomaly_detector`.
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@ -70,8 +73,9 @@ so do not set the `background_persist_interval` value too low.
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`model_snapshot_id`::
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(string) A numerical character string that uniquely identifies the model
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snapshot. For example, `1491007364`.
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For more information about model snapshots, see <<ml-snapshot-resource>>.
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snapshot. For example, `1491007364`. This property is informational; you
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cannot change its value. For more information about model snapshots, see
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<<ml-snapshot-resource>>.
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`model_snapshot_retention_days`::
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(long) The time in days that model snapshots are retained for the job.
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@ -109,7 +113,6 @@ An analysis configuration object has the following properties:
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`by_field_name`, `over_field_name`, or `partition_field_name` to the keyword
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`mlcategory`. For more information, see
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{xpack-ref}/ml-configuring-categories.html[Categorizing Log Messages].
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//<<ml-configuring-categories>>.
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`categorization_filters`::
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(array of strings) If `categorization_field_name` is specified,
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@ -199,14 +202,8 @@ function.
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--
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////
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LEAVE UNDOCUMENTED
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`overlapping_buckets`::
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(boolean) If set to `true`, an additional analysis occurs that runs out of phase by half a bucket length.
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This requires more system resources and enhances detection of anomalies that span bucket boundaries.
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`use_per_partition_normalization`::
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() TBD
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////
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After you create a job, you cannot change the analysis configuration object; all
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the properties are informational.
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[float]
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[[ml-detectorconfig]]
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@ -250,7 +247,6 @@ NOTE: The `field_name` cannot contain double quotes or backslashes.
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(string) The analysis function that is used.
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For example, `count`, `rare`, `mean`, `min`, `max`, and `sum`. For more
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information, see {xpack-ref}/ml-functions.html[Function Reference].
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//<<ml-functions>>.
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`over_field_name`::
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(string) The field used to split the data.
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@ -273,11 +269,9 @@ is different from one named 'bytes'.
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--
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////
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LEAVE UNDOCUMENTED
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`rules`::
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(array) TBD
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////
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After you create a job, the only property you can change in the detector
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configuration object is the `detector_description`; all other properties are
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informational.
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[float]
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[[ml-datadescription]]
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@ -38,8 +38,6 @@ identified. These are only applicable for jobs that are configured to analyze
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unstructured log data using categorization. These results do not contain a
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timestamp or any calculated scores. For more information, see
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{xpack-ref}/ml-configuring-categories.html[Categorizing Log Messages].
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//<<ml-configuring-categories>>.
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* <<ml-results-buckets,Buckets>>
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* <<ml-results-influencers,Influencers>>
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@ -47,6 +45,9 @@ timestamp or any calculated scores. For more information, see
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* <<ml-results-categories,Categories>>
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* <<ml-results-overall-buckets,Overall Buckets>>
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NOTE: All of these resources and properties are informational; you cannot
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change their values.
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[float]
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[[ml-results-buckets]]
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==== Buckets
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@ -13,7 +13,6 @@ When choosing a new value, consider the following:
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* Persistence enables resilience in the event of a system failure.
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* Persistence enables snapshots to be reverted.
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* The time taken to persist a job is proportional to the size of the model in memory.
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//* The smallest allowed value is 3600 (1 hour).
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A model snapshot resource has the following properties:
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@ -21,7 +20,8 @@ A model snapshot resource has the following properties:
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(string) An optional description of the job.
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`job_id`::
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(string) A numerical character string that uniquely identifies the job that the snapshot was created for.
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(string) A numerical character string that uniquely identifies the job that
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the snapshot was created for.
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`latest_record_time_stamp`::
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(date) The timestamp of the latest processed record.
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@ -49,6 +49,9 @@ A model snapshot resource has the following properties:
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`timestamp`::
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(date) The creation timestamp for the snapshot.
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NOTE: All of these properties are informational with the exception of
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`description` and `retain`.
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[float]
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[[ml-snapshot-stats]]
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==== Model Size Statistics
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@ -93,3 +96,5 @@ The `model_size_stats` object has the following properties:
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`total_partition_field_count`::
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(long) The number of _partition_ field values analyzed.
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NOTE: All of these properties are informational; you cannot change their values.
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