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tods/datasets/anomaly
Daochen Zha e73174ccba System-wise interface 5 years ago
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kpi recover KPI example dataset 5 years ago
raw_data axolotl autoencoder example 5 years ago
system_wise/sample System-wise interface 5 years ago
template first commit 5 years ago
yahoo_sub_5 first commit 5 years ago
yahoo_system_sub_5 add system wise datasets 5 years ago
transform_kpi.py first commit 5 years ago
transform_yahoo.py first commit 5 years ago
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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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