Metadata-Version: 1.1
Name: anomatools
Version: 2.0
Summary: Toolbox for anomaly detection.
Home-page: https://github.com/Vincent-Vercruyssen/anomatools
Author: Vincent Vercruyssen
Author-email: V.Vercruyssen@gmail.com
License: UNKNOWN
Description: # anomatools guide
        
        This package is a collection of anomaly detection tools:
        
        - SSDO: semi-supervised detection of outliers
        - iNNe: isolation-based nearest neighbor ensembles
        - kNNo: k-nearest neighbor anomaly detection
        
        
        
        ## Installation
        
        Build the package using setup.py:
        
        ```
        $ python setup.py install
        ```
        
        ...or with pip:
        
        ```
        $ pip install git+https://github.com/Vincent-Vercruyssen/anomatools.git@master
        ```
        
        
        
        ## Usage
        
        See notebooks/ for examples.
        
        
        
        ## Dependencies
        
        - [Python 3](http://www.python.org)
        - [Numpy](http://www.numpy.org)
        - [Scipy](http://www.scipy.org)
        - [Scikit-learn](https://scikit-learn.org/stable/)
        - [Seaborn](https://seaborn.pydata.org/) --> optional
        
        
        
        ## Contact
        
        - [vincent.vercruyssen@cs.kuleuven.be](mailto:vincent.vercruyssen@cs.kuleuven.be)
        
Keywords: anomaly detection
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3
