Detection modes for anomaly detector

ZhuJode 66 Reputation points

What are the detection modes of the Azure anomaly detector and how do we use the URI to access them?

Azure Cognitive Services
Azure Cognitive Services
A group of Azure artificial intelligence services and cognitive APIs that help build intelligent apps.
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  1. Monalla-MSFT 6,656 Reputation points Microsoft Employee

    @ZhuJode - Thanks for reaching out.

    There are two types of Azure Anomaly Detection modes :

    1. Batch detection
      To detect anomalies throughout a batch of data points over a given time range, use the following request URI with your time series data:


    By sending your time series data at once, the API will generate a model using the entire series, and analyze each data point with it.

    1. Streaming detection
      To continuously detect anomalies on streaming data, use the following request URI with your latest data point:


    By sending new data points as you generate them, you can monitor your data in real time. A model will be generated with the data points you send, and the API will determine if the latest point in the time series is an anomaly.

    Please go through this document for more reference : identify-anomalies

    Hope this helps.


    If the above response helped, please feel free to "Accept as Answer" and "upvote" the same so it can be beneficial to the community.

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