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(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

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suod/models/parallel_processes.py:119: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When...

The SUOD library clutters my console. After a bit of digging, I found that in the Parallel(...) call, the parameter verbose is just set to true instead of self.verbose. Would...

Joblib file memory increasing gradually based on number of models and dataset..Do u have any alternate way to save the model with less memory consumption? dump(model, 'model.joblib')

Hello I am interested in using this method of unsupervised outlier detection for Intrusion Detection System Dataset at [1] However, I am not sure what changes in the dataset/codebase I...

Hi, I see from your paper: > demon- strate SUOD’s effectiveness as an end-to-end framework on more complex combination models like unsupervised LSCP [35] and XG- BOD [34] Thus I...

Hi, I'm facing this error when trying to install suod package through both pip and source. The detail log is below: ` ERROR: Command errored out with exit status 1:...

SUOD with PyOD does not function. An issue within `sklearn/base` prevents `SUOD().fit()` from working. I have created several conda environments to try to resolve the sklearn compatibility issue with no...

Hi, I'm here to report an issue with the package. When I use it with parallel processing it starts printing blank lines and I found out that the error is...

Issue: https://github.com/yzhao062/SUOD/issues/7