I have started studying anomaly detector. According to my use case multivariate anomaly detector is good.
I have created a model with my base data with HTTP post API (https://{endpoint}/anomalydetector/v1.1/multivariate/models)
and tested anomaly in the new data with another HTTP post API (https://{endpoint}/anomalydetector/v1.1/multivariate/models/{modelId}:detect-last)
It is working fine. Now I want to add more data to my existing model and train it better.
For Example:
I have generated a multivariate anomaly model with data from 1st January 2023 to 31st January 2023. Used that model to find the anomaly in the data of February 2023.
On the 1st March 2023 I want to add data from 1st February 2023 to 28th February 2023 to that existing model. So that the model becomes more mature with new data and give me better result in March 2023.
I am not able to find any way to do that. Whenever I try to post created model request (https://{endpoint}/anomalydetector/v1.1/multivariate/models) with the same model name and csv file name, it created new model. So my questions are,
Is it possible to add more data points to existing model?
If yes, How?
If no, Is there any other option or service that I can use?
Use Train Model API to create and train a model, then use Get Model Status API to get the status and model metadata.
https://learn.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/how-to/train-model