Skip to content

Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)

License

Notifications You must be signed in to change notification settings

navicto/Discretization-MDLPC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Discretization MDLP

Python implementation of Fayyad and Irani's MDLP criterion discretiation algorithm

Reference:

Irani, Keki B. "Multi-interval discretization of continuous-valued attributes for classification learning." (1993).

Changes: This new release is compatible with Scikit-learn, and may be used as a part of a Scikit-learn pipeline. The old version is still available in release v0.9.

Dependencies:

  1. Numpy: Tested on version 1.14.5
  2. Scikit-learn: Tested on version 0.19.1

Python version Tested on python 2.7.5

About

Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)

Resources

License

Stars

Watchers

Forks

Packages

 
 
 

Languages