iso_forest

This is a simple package implementation for the isolation forest method described (among other places) in this paper for detecting anomalies and outliers from a data point distribution.

Extended isolation forest

For an extended version of this algorithm that produces more precise scoring maps please visit this repository

https://github.com/sahandha/eif/

Installation

pip install iso_forest

or directly from the Github repository

pip install git+https://github.com/mgckind/iso_forest.git

It supports python2 and python3

Requirements

• numpy

No extra requirements are needed for the algorithm.

In addition, it also contains means to draw the trees created using the igraph library.

Use Examples

See these 2 notebooks examples on how to use it

• basics
• tree visualization and anomaly PDFs

Releases

v1.0.3

• Initial Release