Metadata-Version: 2.1
Name: also-anomaly-detector
Version: 0.0.2
Summary: Anomaly Detection according to ALSO
Home-page: https://github.com/eliavw
Author: Elia vw
Author-email: elia.vw@gmail.com
License: mit
Project-URL: Documentation, https://github.com/eliavw
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Provides-Extra: testing
Requires-Dist: pytest ; extra == 'testing'

# 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](https://eliavw.github.io/also_anomaly_detector).

## Administration

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


