Python implementation of SmartSifter
Project description
# SmartSifter
This is Python implementation of [SmartSifter - On-line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms (Yamanishi et al., 2004)](https://togaware.com/papers/kdd00.pdf).
## Install pip install smartsifter
## Usage See sample.py
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
smartsifter-0.1.1.dev1.tar.gz
(2.3 kB
view hashes)