Using the Anomaly Detector algorithms with your data
When looking at options for detecting anomalies using the Multivariate service, we can use the Async or Sync API. Your use case will dictate which one you choose, but typically the Async process is used for looking at a batch of data and pointing out the anomalous data points. The Sync process is typically used for real-time data monitoring for anomalies. This can be determined based on your particular need depending on the latency of the data and the number of data points. Let’s start with the Async API first.
Async API
To get the status of the detection activity with the Async API, you must request the status from the service by choosing the proper API. To do so, you must use the Request URL to display your Anomaly Detector service with models created earlier. After your model has been trained and you are ready for inferencing with another dataset, you can use the same process of sending your request through the API...
