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lhenry15
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README.md
This repository contains D3M datasets schemas and related documentation from the DARPA Data-Driven Discovery of Models (D3M) program. These were developed researchers at MIT Lincoln Lab in collaboration with D3M performers.
This work was sponsored by the Defense Advanced Research Projects Agency (DARPA) under Air Force Contract FA8721-05-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the United States Government.
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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