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Devesh Kumar
b953002fa1
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5 years ago | |
|---|---|---|
| .. | ||
| run_tests.py | 5 years ago | |
| test_CategoricalBinary.py | 5 years ago | |
| test_ColumnFilter.py | 5 years ago | |
| test_ColumnParser.py | 5 years ago | |
| test_ConstructPredictions.py | 5 years ago | |
| test_ContinuityValidation.py | 5 years ago | |
| test_DatasetToDataFrame.py | 5 years ago | |
| test_DuplicationValidation.py | 5 years ago | |
| test_ExtractColumnsBySemanticTypes.py | 5 years ago | |
| test_SKImputer.py | 5 years ago | |
| test_TimeIntervalTransform.py | 5 years ago | |
| test_TimeStampValidation.py | 5 years ago | |
| utils.py | 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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