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Elasticsearch Guide [7.5] » REST APIs » Machine learning anomaly detection APIs
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Machine learning anomaly detection APIsedit

You can use the following APIs to perform machine learning anomaly detection activities. See Definitions for the resource definitions used by the machine learning APIs and in advanced job configuration options in Kibana.

See also Machine learning data frame analytics APIs.

Anomaly detection jobsedit

  • 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

Calendarsedit

  • 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

Filtersedit

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

Datafeedsedit

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

Jobsedit

See Anomaly detection jobs.

Model Snapshotsedit

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

Resultsedit

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

File structureedit

  • Find file structure

Infoedit

  • Machine learning info

Delete expired dataedit

  • Delete expired data

Set upgrade modeedit

  • Set upgrade mode
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