Migrate to scikit-learn code base

vc1492a / PyNomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

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Migrate to scikit-learn code base #15

Closed vc1492a closed 5 years ago

vc1492a commented 6 years ago

Use code available in this pull request to migrate the PyNomaly code base to one based on scikit-learn. This will allow for the use of pre-computed distances, different distance metrics, and other functionality.

vc1492a commented 6 years ago

Ensure changes from 0.2.2 are incorporated (not in PR linked above).

vc1492a commented 5 years ago

No longer plan on pursuing this and instead - if at all - will pursue a PR for scikit-learn for the Local Outlier Probability approach.