Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.
VERSION HISTORY
- Version 0.2.1 posted on 2006-01-08
Several fixes and updates - Version 0.2.1 posted on 2006-01-08
Program Details
- Category: Development > Other
- Publisher: proper.sf.net
- License: Free
- Price: N/A
- Version: 0.2.1
- Platform: linux