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
Description: # 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.
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: testing
