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tods/benchmark
lhenry15 a2e3c407ce revise readme, add build_pipeline shell script 4 years ago
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realworld_data revise readme, add build_pipeline shell script 4 years ago
synthetic add README and bash script for running benchmark 4 years ago
README.md revise readme in benchmark folder 4 years ago

README.md

Revisiting Time Series Outlier Detection: Definitions and Benchmarks

Benchmark Directions

  • Step1: Follow the instructions in main page to intall the package
  • Step2: Go to the sub-directories (realworld_data or synthetic) to see the detailed instruction for running the benchmarking pipelines.
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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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