Machine learning anomaly detection APIs

Machine learning anomaly detection APIs

New API reference

For the most up-to-date API details, refer to Machine learning anomaly detection APIs.

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

See also Machine learning APIs, Machine learning data frame analytics APIs, Machine learning trained model APIs.

Anomaly detection jobs

• 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
• Reset anomaly detection jobs

Calendars

• 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

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

Datafeeds

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

Model snapshots

• Delete model snapshot
• Get model snapshot info
• Get model snapshot upgrade statistics
• Revert model snapshot
• Update model snapshot
• Upgrade model snapshot

Results

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

Delete expired data

• Delete expired data