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Consider to add it in PyOD #1

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@mgoeminne

PyOD is a Python library that puts many anomaly detection algorithms in the same place.

Basically, it provides a sklearn-like interface with predict() method that generates a positive value that represents the degree of abnormality of an observation. Therefore, the T^2 algorithm would be a great contribution to this library.

Cf their contribution policy.

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