Versions

Description

lsanomaly is a flexible, fast, probabilistic method for calculating outlier scores on test data, given training examples of inliers. Out of the box it works well with scikit-learn packages. See the features section for why you might chose this model over other options.

Repository

https://github.com/lsanomaly/lsanomaly

Project Slug

lsanomaly

Last Built

6 months ago passed

Maintainers

Home Page

https://github.com/lsanomaly/lsanomaly

Badge

Tags

ml, detection, outlier, anomaly, least, squares, lsanomaly

Short URLs

lsanomaly.readthedocs.io
lsanomaly.rtfd.io

Default Version

latest

'latest' Version

master