Can I use it for time series forecasting or anomaly detection?

mqwfrog / MHCCL

MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)

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Can I use it for time series forecasting or anomaly detection? #1

Closed 943fansi closed 1 year ago

mqwfrog commented 1 year ago

Sorry, it is currently not possible to directly use it for forecasting or anomaly detection. In this work, we regard the entire time series as an instance, while not focusing on timestamp-level representations. Therefore, you can use MHCCL to obtain instance-level representations. But if you wanna change the downstream task , you'd better modify the encoding method and the loss function.

943fansi commented 1 year ago

@mqwfrog. Thanks for your answer!