© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
K. FeaselFinding Ghosts in Your Datahttps://doi.org/10.1007/978-1-4842-8870-2_4

4. Laying Out the Framework

Kevin Feasel1  
(1)
DURHAM, NC, USA
 

To this point, we have focused entirely on the theoretical aspects of outlier and anomaly detection. We will still need to delve into theory on several other occasions in later chapters, but we have enough to get started on developing a proper anomaly detection service.

In this chapter, we will build the scaffolding for a real-time outlier detection service. Then, in the next chapter, we will integrate a testing library to reduce the risk of breaking our code as we iterate on techniques.

Tools of the Trade

Before we write ...

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