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also_anomaly_detector

Attribute-wise Learning for Scoring Outliers (ALSO) is an unsupervised anomaly detection algorithm for multidimensional data.

Description

Python implementation of ALSO. ALSO, or Attribute-wise Learning for Scoring Outliers, is an unsupervised anomaly detection algorithm for multidimensional data as described in Paulheim, H., Meusel, R. A decomposition of the outlier detection problem into a set of supervised learning problems. Mach Learn 100, 509–531 (2015). https://doi.org/10.1007/s10994-015-5507-y

I am not the author, nor in any way affiliated with the authors of the paper above. This is an independent python implementation of the ALSO-approach.

Usage

For a local install, cd to the root of this repository and simply;

python setup.py develop

Documentation

Documentation should be available at https://eliavw.github.io/also_anomaly_detector.

Administration

Open the folder note/deploy for notebooks that contain annotated scripts for the different administrative tasks you may want to undertake with this software project.

Release files for also-anomaly-detector 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for also-anomaly-detector 0.0.2
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Built distribution (wheel)

Table of built distributions (wheels) for also-anomaly-detector 0.0.2
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also_anomaly_detector-0.0.2-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 9.1 kB

Release files / also_anomaly_detector-0.0.2.tar.gz

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