Machine learning anomaly detection

32 endpoints

• Close anomaly detection jobs
  • POST /_ml/anomaly_detectors/{job_id}/_close
• Create a calendar
  • PUT /_ml/calendars/{calendar_id}
• Get calendar configuration info
  • POST also GET /_ml/calendars/{calendar_id}
• Delete a calendar
  • DELETE /_ml/calendars/{calendar_id}
• Delete events from a calendar
  • DELETE /_ml/calendars/{calendar_id}/events/{event_id}
• Add anomaly detection job to calendar
  • PUT /_ml/calendars/{calendar_id}/jobs/{job_id}
• Delete anomaly jobs from a calendar
  • DELETE /_ml/calendars/{calendar_id}/jobs/{job_id}
• Get datafeeds configuration info
  • GET /_ml/datafeeds/{datafeed_id}
• Create a datafeed
  • PUT /_ml/datafeeds/{datafeed_id}
• Delete a datafeed
  • DELETE /_ml/datafeeds/{datafeed_id}
• Get filters
  • GET /_ml/filters/{filter_id}
• Create a filter
  • PUT /_ml/filters/{filter_id}
• Delete a filter
  • DELETE /_ml/filters/{filter_id}
• Get anomaly detection jobs configuration info
  • GET /_ml/anomaly_detectors/{job_id}
• Create an anomaly detection job
  • PUT /_ml/anomaly_detectors/{job_id}
• Delete an anomaly detection job
  • DELETE /_ml/anomaly_detectors/{job_id}
• Estimate job model memory usage
  • POST /_ml/anomaly_detectors/_estimate_model_memory
• Force buffered data to be processed
  • POST /_ml/anomaly_detectors/{job_id}/_flush
• Predict future behavior of a time series
  • POST /_ml/anomaly_detectors/{job_id}/_forecast
• Get info about events in calendars
  • GET /_ml/calendars/{calendar_id}/events
• Add scheduled events to the calendar
  • POST /_ml/calendars/{calendar_id}/events
• Get datafeed stats
  • GET /_ml/datafeeds/{datafeed_id}/_stats
• Get anomaly detection job stats
  • GET /_ml/anomaly_detectors/{job_id}/_stats
• Get overall bucket results
  • POST also GET /_ml/anomaly_detectors/{job_id}/results/overall_buckets
• Open anomaly detection jobs
  • POST /_ml/anomaly_detectors/{job_id}/_open
• Preview a datafeed
  • POST also GET /_ml/datafeeds/{datafeed_id}/_preview
• Reset an anomaly detection job
  • POST /_ml/anomaly_detectors/{job_id}/_reset
• Start datafeeds
  • POST /_ml/datafeeds/{datafeed_id}/_start
• Stop datafeeds
  • POST /_ml/datafeeds/{datafeed_id}/_stop
• Update a datafeed
  • POST /_ml/datafeeds/{datafeed_id}/_update
• Update a filter
  • POST /_ml/filters/{filter_id}/_update
• Update an anomaly detection job
  • POST /_ml/anomaly_detectors/{job_id}/_update