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lhenry15 f04a2f685f merge clean and remove install.sh 5 years ago
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build_AutoEncoder_pipeline.py first commit 5 years ago
build_IsolationForest_pipline.py modified example, add getting started 5 years ago
build_LODA_pipline.py add run_pipeline example 5 years ago
run_pipeline.py Fix dependency 5 years ago
run_search.py Simplify dataset interface and return results in evaluation 5 years ago
test_axolotl.py first commit 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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