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feat: Multivariate Anomaly Detection (#343)
Additions: - Beta VAE to balance the KLD and Log likelihood loss - RobustMahalanobis Distance for multivariate thresholding - Percentile based thresholding with aggregation - Allow a tag suffix in docker workflow when using the github UI - Exponential moving average in postprocess output - Introduce pytests instead of unittests for newer test cases - Improve synthetic anomaly generator module - Per feature anomaly score when using certain thresholding models - Score config for different feature and window aggreation methods Removal: - backtesting cli tool (since this will be added in a separate backtesting tool UI) --------- Signed-off-by: Avik Basu <[email protected]> Co-authored-by: Kushal Batra <[email protected]>
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