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pre-release of pythresh in 1.0.7
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yzhao062 committed Dec 16, 2022
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Zhao, Y., Nasrullah, Z. and Li, Z., 2019. PyOD: A Python Toolbox for Scalable Outlier Detection. Journal of machine learning research (JMLR), 20(96), pp.1-7.

If you want more general insights of anomaly detection and/or algorithm performance comparison, please see our
NeurIPS 2022 paper `ADBench: Anomaly Detection Benchmark <https://www.andrew.cmu.edu/user/yuezhao2/papers/22-neurips-adbench.pdf>`_::
NeurIPS 2022 paper `ADBench: Anomaly Detection Benchmark Paper <https://www.andrew.cmu.edu/user/yuezhao2/papers/22-neurips-adbench.pdf>`_::

@inproceedings{han2022adbench,
title={ADBench: Anomaly Detection Benchmark},
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