Welcome to AutoClassWrapper’s documentation!

Version 1.5.1

AutoClass is an unsupervised Bayesian classification system. AutoClass C is an implementation of the AutoClass algorithm developed by the NASA in 1995.

AutoClassWrapper is a Python wrapper to ease the use of Autoclass C.

Install AutoClassWrapper with pip:

$ python3 -m pip install autoclasswrapper

you will also need AutoClass C:

$ wget https://ti.arc.nasa.gov/m/project/autoclass/autoclass-c-3-3-6.tar.gz
$ tar zxvf autoclass-c-3-3-6.tar.gz
$ rm -f autoclass-c-3-3-6.tar.gz
$ export PATH=$PATH:$(pwd)/autoclass-c

# if you use a 64-bit operating system,
# you also need to install the standard 32-bit C libraries:
$ sudo apt-get install -y libc6-i386

User manual

• AutoClass algorithm and context
• Installation
• Data preparation
• Classification / clustering
• Results analysis

Tutorial

• Toy dataset
• Iris flower dataset

Reference manual

• API reference for Input() class
• API reference for Dataset() class
• API reference for Run() class
• API reference for Output() class
• API reference for the tools module

Index

• Index

Recent Changes

• Add JOSS badge by Pierre Poulain at 2019-07-25 22:23:54
• Update metadata for JMC by Pierre Poulain at 2019-07-25 21:48:20
• Merge pull request #17 from kyleniemeyer/patch-1 by Pierre Poulain at 2019-07-25 21:32:23

  Update paper.md

• Update paper.md by Kyle Niemeyer at 2019-07-25 18:59:57

  Fixes to citations to multiple papers in one command (should use semicolon rather than comma)

• Merge pull request #16 from trallard/patch-1 by Pierre Poulain at 2019-07-19 13:31:08

  Add missing DOI for reference

• Add missing DOI for reference by Tania Allard at 2019-07-19 13:26:53
• update Zenodo DOI (generic one) by Pierre Poulain at 2019-07-17 11:50:33
• Bump version: 1.5.0 → 1.5.1 by Pierre Poulain at 2019-07-17 11:46:04
• Create new release of the Journal of Open Source Software by Pierre Poulain at 2019-07-17 11:45:33
• update Software Heritage link by Pierre Poulain at 2019-07-11 15:28:31