Machine learning anomaly detection APIs

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

See also Machine learning data frame analytics 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

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
• Revert model snapshot
• Update model snapshot

Results

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

File structure

• Find file structure

Info

• Machine learning info

Delete expired data

• Delete expired data

Set upgrade mode

• Set upgrade mode