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tods/tods
lhenry15 40a354eaeb add converted NAB dataset and conversion script 5 years ago
..
common-primitives resolve requirement conflicts 5 years ago
data_processing first commit 5 years ago
detection_algorithm first commit 5 years ago
feature_analysis first commit 5 years ago
reinforcement first commit 5 years ago
tests first commit 5 years ago
timeseries_processing first commit 5 years ago
tods add converted NAB dataset and conversion script 5 years ago
.gitignore first commit 5 years ago
__init__.py first commit 5 years ago
entry_points.ini Fix bugs in entry point and add brute force search 5 years ago
requirements.txt resolve requirement conflicts 5 years ago
run_tests.py first commit 5 years ago
setup.py resolve requirement conflicts 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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