Python(编程语言)
异常检测
计算机科学
开源
源代码
开源软件
软件
数据挖掘
异常(物理)
程序设计语言
物理
凝聚态物理
作者
Selim Yılmaz,Süleyman S. Kozat
出处
期刊:Cornell University - arXiv
日期:2020-01-01
被引量:1
标识
DOI:10.48550/arxiv.2009.02572
摘要
PySAD is an open-source python framework for anomaly detection on streaming data. PySAD serves various state-of-the-art methods for streaming anomaly detection. The framework provides a complete set of tools to design anomaly detection experiments ranging from projectors to probability calibrators. PySAD builds upon popular open-source frameworks such as PyOD and scikit-learn. We enforce software quality by enforcing compliance with PEP8 guidelines, functional testing and using continuous integration. The source code is publicly available on https://github.com/selimfirat/pysad.
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