[DOCS] Identify informational ML properties (elastic/x-pack-elasticsearch#3773)

Original commit: elastic/x-pack-elasticsearch@cb310b360d
This commit is contained in:
Lisa Cawley 2018-02-19 11:48:09 -08:00 committed by GitHub
parent 530b709948
commit 64653e525a
4 changed files with 29 additions and 27 deletions

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@ -9,7 +9,6 @@ A {dfeed} resource has the following properties:
Support for aggregations is limited and should only be used with
low cardinality data. For more information, see
{xpack-ref}/ml-configuring-aggregation.html[Aggregating Data for Faster Performance].
//<<ml-configuring-aggregation>>.
`chunking_config`::
(object) Specifies how data searches are split into time chunks.
@ -18,6 +17,8 @@ A {dfeed} resource has the following properties:
`datafeed_id`::
(string) A numerical character string that uniquely identifies the {dfeed}.
This property is informational; you cannot change the identifier for existing
{dfeeds}.
`frequency`::
(time units) The interval at which scheduled queries are made while the
@ -88,7 +89,8 @@ A chunking configuration object has the following properties:
==== {dfeed-cap} Counts
The get {dfeed} statistics API provides information about the operational
progress of a {dfeed}. For example:
progress of a {dfeed}. All of these properties are informational; you cannot
update their values:
`assignment_explanation`::
(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.
--
`create_time`::
(string) The time the job was created. For example, `1491007356077`.
(string) The time the job was created. For example, `1491007356077`. This
property is informational; you cannot change its value.
`custom_settings`::
(object) Advanced configuration option. Contains custom meta data about the
@ -47,7 +48,8 @@ so do not set the `background_persist_interval` value too low.
`finished_time`::
(string) If the job closed or failed, this is the time the job finished,
otherwise it is `null`.
otherwise it is `null`. This property is informational; you cannot change its
value.
`groups`::
(array of strings) A list of job groups. A job can belong to no groups or
@ -56,7 +58,8 @@ so do not set the `background_persist_interval` value too low.
`job_id`::
(string) The unique identifier for the job. This identifier can contain
lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It
must start and end with alphanumeric characters.
must start and end with alphanumeric characters. This property is
informational; you cannot change the identifier for existing jobs.
`job_type`::
(string) Reserved for future use, currently set to `anomaly_detector`.
@ -70,8 +73,9 @@ so do not set the `background_persist_interval` value too low.
`model_snapshot_id`::
(string) A numerical character string that uniquely identifies the model
snapshot. For example, `1491007364`.
For more information about model snapshots, see <<ml-snapshot-resource>>.
snapshot. For example, `1491007364`. This property is informational; you
cannot change its value. For more information about model snapshots, see
<<ml-snapshot-resource>>.
`model_snapshot_retention_days`::
(long) The time in days that model snapshots are retained for the job.
@ -109,7 +113,6 @@ An analysis configuration object has the following properties:
`by_field_name`, `over_field_name`, or `partition_field_name` to the keyword
`mlcategory`. For more information, see
{xpack-ref}/ml-configuring-categories.html[Categorizing Log Messages].
//<<ml-configuring-categories>>.
`categorization_filters`::
(array of strings) If `categorization_field_name` is specified,
@ -199,14 +202,8 @@ function.
--
////
LEAVE UNDOCUMENTED
`overlapping_buckets`::
(boolean) If set to `true`, an additional analysis occurs that runs out of phase by half a bucket length.
This requires more system resources and enhances detection of anomalies that span bucket boundaries.
`use_per_partition_normalization`::
() TBD
////
After you create a job, you cannot change the analysis configuration object; all
the properties are informational.
[float]
[[ml-detectorconfig]]
@ -250,7 +247,6 @@ NOTE: The `field_name` cannot contain double quotes or backslashes.
(string) The analysis function that is used.
For example, `count`, `rare`, `mean`, `min`, `max`, and `sum`. For more
information, see {xpack-ref}/ml-functions.html[Function Reference].
//<<ml-functions>>.
`over_field_name`::
(string) The field used to split the data.
@ -273,11 +269,9 @@ is different from one named 'bytes'.
--
////
LEAVE UNDOCUMENTED
`rules`::
(array) TBD
////
After you create a job, the only property you can change in the detector
configuration object is the `detector_description`; all other properties are
informational.
[float]
[[ml-datadescription]]

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@ -38,8 +38,6 @@ identified. These are only applicable for jobs that are configured to analyze
unstructured log data using categorization. These results do not contain a
timestamp or any calculated scores. For more information, see
{xpack-ref}/ml-configuring-categories.html[Categorizing Log Messages].
//<<ml-configuring-categories>>.
* <<ml-results-buckets,Buckets>>
* <<ml-results-influencers,Influencers>>
@ -47,6 +45,9 @@ timestamp or any calculated scores. For more information, see
* <<ml-results-categories,Categories>>
* <<ml-results-overall-buckets,Overall Buckets>>
NOTE: All of these resources and properties are informational; you cannot
change their values.
[float]
[[ml-results-buckets]]
==== Buckets

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@ -13,7 +13,6 @@ When choosing a new value, consider the following:
* Persistence enables resilience in the event of a system failure.
* Persistence enables snapshots to be reverted.
* The time taken to persist a job is proportional to the size of the model in memory.
//* The smallest allowed value is 3600 (1 hour).
A model snapshot resource has the following properties:
@ -21,7 +20,8 @@ A model snapshot resource has the following properties:
(string) An optional description of the job.
`job_id`::
(string) A numerical character string that uniquely identifies the job that the snapshot was created for.
(string) A numerical character string that uniquely identifies the job that
the snapshot was created for.
`latest_record_time_stamp`::
(date) The timestamp of the latest processed record.
@ -49,6 +49,9 @@ A model snapshot resource has the following properties:
`timestamp`::
(date) The creation timestamp for the snapshot.
NOTE: All of these properties are informational with the exception of
`description` and `retain`.
[float]
[[ml-snapshot-stats]]
==== Model Size Statistics
@ -93,3 +96,5 @@ The `model_size_stats` object has the following properties:
`total_partition_field_count`::
(long) The number of _partition_ field values analyzed.
NOTE: All of these properties are informational; you cannot change their values.