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engine for anomaly detection in time series using unsupervised learning

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Oddity Engine

The anomaly detection and tools engine used by Oddity. The engine is used as a Python binding with PyO3, and therefore is currently not intended to be used as a standalone Rust library.

The engine provides some of the following functionalities:

  • STL decompositon
  • Time series collection and tools
  • Gaussian process fitting
  • Gaussian kernels
  • Gaussian distribition fitting
  • FFT for periodicity inference

More functionality and general optimizations will be added in the future.

Important Links

The following are some important links for more information:

PyPi: https://pypi.org/project/oddity/

Oddity: https://github.com/Lleyton-Ariton/oddity

Oddity Demo: https://github.com/Lleyton-Ariton/oddity-demo

Extra

For some extra information on time series data/anomaly detection, you can check out my medum article series Houston, we have a problem.

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