2017-06-19 21:23:58 -04:00
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[role="xpack"]
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2018-08-31 19:49:24 -04:00
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[testenv="platinum"]
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2017-04-04 18:26:39 -04:00
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[[ml-apis]]
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2020-07-20 16:10:54 -04:00
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= {ml-cap} {anomaly-detect} APIs
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2017-04-04 18:26:39 -04:00
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2019-12-26 07:49:41 -05:00
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You can use the following APIs to perform {ml} {anomaly-detect} activities.
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2017-04-04 18:26:39 -04:00
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2020-07-20 16:10:54 -04:00
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See also <<ml-df-analytics-apis>>.
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2019-07-16 16:22:27 -04:00
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2019-07-08 14:43:18 -04:00
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[discrete]
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[[ml-api-anomaly-job-endpoint]]
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2020-07-20 16:10:54 -04:00
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== {anomaly-jobs-cap}
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2019-07-08 14:43:18 -04:00
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//* <<ml-valid-detector,Validate detectors>>, <<ml-valid-job,Validate job>>
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* <<ml-put-job,Create>> or <<ml-delete-job,delete {anomaly-jobs}>>
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* <<ml-put-calendar-job,Add>> or <<ml-delete-calendar-job,delete a {anomaly-job} from a calendar>>
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* <<ml-open-job,Open>> or <<ml-close-job,close {anomaly-jobs}>>
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* <<ml-get-job,Get {anomaly-jobs} info>> or <<ml-get-job-stats,statistics>>
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* <<ml-flush-job,Flush {anomaly-jobs}>>
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* <<ml-post-data,Post data to {anomaly-jobs}>>
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* <<ml-update-job,Update {anomaly-jobs}>>
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* <<ml-forecast,Create>> or <<ml-delete-forecast,delete forecasts>>
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[discrete]
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2017-12-20 16:52:58 -05:00
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[[ml-api-calendar-endpoint]]
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2020-07-20 16:10:54 -04:00
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== Calendars
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2017-12-20 16:52:58 -05:00
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* <<ml-put-calendar,Create calendar>>, <<ml-delete-calendar,Delete calendar>>
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* <<ml-put-calendar-job,Add job to calendar>>, <<ml-delete-calendar-job,Delete job from calendar>>
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2018-01-24 11:14:23 -05:00
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* <<ml-post-calendar-event,Add scheduled events to calendar>>, <<ml-delete-calendar-event,Delete scheduled events from calendar>>
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* <<ml-get-calendar,Get calendars>>, <<ml-get-calendar-event,Get scheduled events>>
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2017-12-20 16:52:58 -05:00
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2019-07-08 14:43:18 -04:00
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[discrete]
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2018-07-25 11:10:32 -04:00
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[[ml-api-filter-endpoint]]
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2020-07-20 16:10:54 -04:00
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== Filters
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2018-07-25 11:10:32 -04:00
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* <<ml-put-filter,Create filter>>, <<ml-delete-filter,Delete filter>>
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* <<ml-update-filter,Update filters>>
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* <<ml-get-filter,Get filters>>
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2019-07-08 14:43:18 -04:00
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[discrete]
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2017-04-04 18:26:39 -04:00
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[[ml-api-datafeed-endpoint]]
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2020-07-20 16:10:54 -04:00
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== {dfeeds-cap}
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2017-04-10 11:59:27 -04:00
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2017-06-06 16:42:47 -04:00
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* <<ml-put-datafeed,Create {dfeed}>>, <<ml-delete-datafeed,Delete {dfeed}>>
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* <<ml-start-datafeed,Start {dfeed}>>, <<ml-stop-datafeed,Stop {dfeed}>>
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* <<ml-get-datafeed,Get {dfeed} info>>, <<ml-get-datafeed-stats,Get {dfeed} statistics>>
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2017-05-02 15:45:42 -04:00
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* <<ml-preview-datafeed,Preview {dfeed}>>
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* <<ml-update-datafeed,Update {dfeed}>>
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2017-04-04 18:26:39 -04:00
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2019-07-08 14:43:18 -04:00
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[discrete]
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2017-04-04 18:26:39 -04:00
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[[ml-api-snapshot-endpoint]]
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2020-07-20 16:10:54 -04:00
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== Model Snapshots
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2017-04-04 18:26:39 -04:00
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2017-04-27 13:51:48 -04:00
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* <<ml-delete-snapshot,Delete model snapshot>>
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* <<ml-get-snapshot,Get model snapshot info>>
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* <<ml-revert-snapshot,Revert model snapshot>>
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* <<ml-update-snapshot,Update model snapshot>>
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2017-04-11 16:25:38 -04:00
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2017-04-04 18:26:39 -04:00
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2019-07-08 14:43:18 -04:00
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[discrete]
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2017-04-04 18:26:39 -04:00
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[[ml-api-result-endpoint]]
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2020-07-20 16:10:54 -04:00
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== Results
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2017-04-04 18:26:39 -04:00
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2017-04-10 19:14:26 -04:00
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* <<ml-get-bucket,Get buckets>>
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2017-10-10 09:41:24 -04:00
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* <<ml-get-overall-buckets,Get overall buckets>>
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2017-04-10 19:14:26 -04:00
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* <<ml-get-category,Get categories>>
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* <<ml-get-influencer,Get influencers>>
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* <<ml-get-record,Get records>>
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2019-07-08 14:43:18 -04:00
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[discrete]
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2018-09-20 07:17:09 -04:00
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[[ml-api-file-structure-endpoint]]
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2020-07-20 16:10:54 -04:00
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== File structure
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2018-09-20 07:17:09 -04:00
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* <<ml-find-file-structure,Find file structure>>
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2019-07-08 14:43:18 -04:00
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[discrete]
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2018-11-22 11:23:31 -05:00
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[[ml-api-ml-info-endpoint]]
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2020-07-20 16:10:54 -04:00
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== Info
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2018-11-22 11:23:31 -05:00
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* <<get-ml-info,Machine learning info>>
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2019-07-08 14:43:18 -04:00
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[discrete]
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2018-11-26 11:15:54 -05:00
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[[ml-api-delete-expired-data-endpoint]]
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2020-07-20 16:10:54 -04:00
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== Delete expired data
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2018-11-26 11:15:54 -05:00
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* <<ml-delete-expired-data,Delete expired data>>
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2019-07-08 14:43:18 -04:00
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[discrete]
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2019-01-30 07:51:11 -05:00
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[[ml-set-upgrade-mode-endpoint]]
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2020-07-20 16:10:54 -04:00
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== Set upgrade mode
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2019-01-30 07:51:11 -05:00
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* <<ml-set-upgrade-mode, Set upgrade mode>>
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