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Elastic Docs ›Elasticsearch Guide [7.7] ›REST APIs

Machine learning anomaly detection APIs

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IMPORTANT: This documentation is no longer updated. Refer to Elastic's version policy and the latest documentation.

Machine learning anomaly detection APIs

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You can use the following APIs to perform machine learning anomaly detection activities.

See also Machine learning data frame analytics APIs.

Anomaly detection jobs

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  • Create or delete anomaly detection jobs
  • Add or delete a anomaly detection job from a calendar
  • Open or close anomaly detection jobs
  • Get anomaly detection jobs info or statistics
  • Flush anomaly detection jobs
  • Post data to anomaly detection jobs
  • Update anomaly detection jobs
  • Create or delete forecasts

Calendars

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  • Create calendar, Delete calendar
  • Add job to calendar, Delete job from calendar
  • Add scheduled events to calendar, Delete scheduled events from calendar
  • Get calendars, Get scheduled events

Filters

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  • Create filter, Delete filter
  • Update filters
  • Get filters

Datafeeds

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  • Create datafeed, Delete datafeed
  • Start datafeed, Stop datafeed
  • Get datafeed info, Get datafeed statistics
  • Preview datafeed
  • Update datafeed

Model Snapshots

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  • Delete model snapshot
  • Get model snapshot info
  • Revert model snapshot
  • Update model snapshot

Results

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  • Get buckets
  • Get overall buckets
  • Get categories
  • Get influencers
  • Get records

File structure

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  • Find file structure

Info

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  • Machine learning info

Delete expired data

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  • Delete expired data

Set upgrade mode

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  • Set upgrade mode
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