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lhenry15
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README.md
Data used for tests
This repository contains data used for tests across multiple other repositories.
About Data Driven Discovery Program
DARPA Data Driven Discovery (D3M) Program is researching ways to get machines to build
machine learning pipelines automatically. It is split into three layers:
TA1 (primitives), TA2 (systems which combine primitives automatically into pipelines
and executes them), and TA3 (end-users interfaces).
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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