Anomaly detector deprecated

Question

Hello, since this service has been deprecated, what is the alternative product I can use for the same user case? There is no document or guidance about that. Please help.

Answer 1

@Jaeson

Thanks for reaching out to us, yes, Anomaly Detector Service has been deprecated, and there is no new product for alternative at this moment.

However, there is a new component in Azure Machine Learning Designer using the PCA-Based Anomaly Detection component in Azure Machine Learning designer, to create an anomaly detection model based on principal component analysis (PCA).

This component helps you build a model in scenarios where it's easy to get training data from one class, such as valid transactions, but difficult to get sufficient samples of the targeted anomalies.

For example, to detect fraudulent transactions, you often don't have enough examples of fraud to train on. But you might have many examples of good transactions. The PCA-Based Anomaly Detection component solves the problem by analyzing available features to determine what constitutes a "normal" class. The component then applies distance metrics to identify cases that represent anomalies. This approach lets you train a model by using existing imbalanced data.

You can also train your model to accomplish it as this document - https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-anomaly-detection-model?view=azureml-api-2

The component takes as input a set of parameters for an anomaly detection model and an unlabeled dataset. It returns a trained anomaly detection model, together with a set of labels for the training data.

Please take a look and have a try, I hope this helps.

Regards, Yutong

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