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A Python 3 implementation of LoOP: Local Outlier Probabilities.

Installers

  • linux-aarch64 v0.3.3
  • osx-arm64 v0.3.3
  • linux-s390x v0.3.3
  • linux-64 v0.3.3
  • osx-64 v0.3.3
  • win-64 v0.3.3
  • linux-ppc64le v0.3.3

conda install

To install this package run one of the following:
conda install sfe1ed40::pynomaly

Description

PyNomaly is a Python 3 implementation of LoOP (Local Outlier Probabilities). LoOP is a local density based outlier detection method by Kriegel, Kröger, Schubert, and Zimek which provides outlier scores in the range of [0,1] that are directly interpretable as the probability of a sample being an outlier.


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