Updated built-in machine learning models for anomaly detection in Stream Analytics
Microsoft announced a preview of this Azure Stream Analytics update in May 2018.
In preview1 version
Facts
- Microsoft id
updated-built-in-ml-models-for-anomaly-detection- Status
- In preview
- Products
- Azure Stream Analytics
- Update type
- Features
- Product categories
- Analytics, Internet of Things
- Preview
- May 2018
- Status pages
- Azure Stream Analytics status
- First captured by us
- (from our first import of this list)
- Microsoft last modified
- Source
- Azure Updates · open the original at Microsoft
Microsoft says
Azure Stream Analytics now includes machine learning model support for spike and dip detection.
What Microsoft changed
One version so far. If Microsoft edits it, each change shows here with what was removed and added.
First version we captured ·
As first seen: In preview
- Status
- In preview
Seen by us · Microsoft's timestamp · Microsoft's page
Related changes
Other changes for Azure Stream Analytics
- Public preview: Stream Analytics No-Code Editor available in Azure Stream Analytics Portal · In preview
- Setting Up a CI/CD Pipeline with GitHub Actions for Stream Analytics Jobs · Launched
- Public preview: Capture Event Hubs data with Stream Analytics no-code editor in Delta Lake format · In preview
- Public preview: Processor diagram in Physical Job Diagram for Stream Analytics job troubleshooting · In preview
- Public preview: Job diagram simulator in VS Code · In preview
- Public preview: Physical job diagram for Stream Analytics job troubleshooting · In preview
- .Net Standard user-defined functions for Azure Stream Analytics will be retired on 30 September 2024.
- Public preview: Stream Analytics no-code editor updates in August 2022 · In preview
Last updated