microsoft/FLAML

support anomaly detection

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#413 opened on 2022年1月19日

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enhancementgood first issue

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説明

Add a task type 'anomaly_detection', and at least one learner for it.

From my understanding there are multiple types of anomalies - point anomalies, contextual anomalies, and collective anomalies - and also different types of anomaly detection algorithms - nearest-neighbor, clustering, classification, and statistic based.

If anyone has any suggestions or requests for this task, please comment.

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