TODS: Detecting Different Types of Outliers from Time Series Data

Constructing machine learning pipelines for outlier detection in time series with automated machine learning.

Henry Lai
Towards Data Science
8 min readJun 23, 2021

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https://github.com/datamllab/tods. Image by Author.

Time Series Outlier detection aims to identify unexpected or rare instances in data. As one of the most important tasks of data analysis, outlier detection has various…

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