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| img | 5 years ago | |
| conf.py | 5 years ago | |
| doctree.rst | 5 years ago | |
| getting_started.rst | 5 years ago | |
| index.rst | 5 years ago | |
| modules.rst | 5 years ago | |
| overview.rst | 5 years ago | |
| tods.data_processing.rst | 5 years ago | |
| tods.detection_algorithm.rst | 5 years ago | |
| tods.feature_analysis.rst | 5 years ago | |
| tods.reinforcement.rst | 5 years ago | |
| tods.rst | 5 years ago | |
| tods.searcher.rst | 5 years ago | |
| tods.searcher.search.rst | 5 years ago | |
| tods.timeseries_processing.rst | 5 years ago | |
全栈的自动化机器学习系统,主要针对多变量时间序列数据的异常检测。TODS提供了详尽的用于构建基于机器学习的异常检测系统的模块,它们包括:数据处理(data processing),时间序列处理( time series processing),特征分析(feature analysis),检测算法(detection algorithms),和强化模块( reinforcement module)。这些模块所提供的功能包括常见的数据预处理、时间序列数据的平滑或变换,从时域或频域中抽取特征、多种多样的检测算
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