Toolbox for anomaly detection.
Project 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
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