Attribute-wise Learning for Scoring Outliers (ALSO) is an unsupervised anomaly detection algorithm for multidimensional data.
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.
For a local install, cd to the root of this repository and simply;
python setup.py develop
Documentation should be available at https://eliavw.github.io/also_anomaly_detector.
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.