mloss | Projects authored by ales erjavec.

Orange 2.6

by janez - February 14, 2013, 18:15:08 CET [ ] 8529 views, 1763 downloads, 1 subscription

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About: Orange is a component-based machine learning and data mining software. It includes a friendly yet powerful and flexible graphical user interface for visual programming. For more advanced use(r)s, [...]

Changes:

Added multi-target and multi-label learning, neural networks, Earth (MARS), PLS, and a faster tree induces for use in random forests; reorganization of module hierarchy; (weakly supported) Qwt has been replaced with a homemade module; networkx is used instead of a (weak) homemade structures for graphs; documentation has been moved to .rst, with a lot of it written anew or heavily redacted; improved system for registration of add-ons.

Authors: Janez Demsar, Tomaz Curk, Ales Erjavec, Crt Gorup, Mitar Milutinovic, Matija Polajnar, Marko Toplak, Anze Staric, Miha Stajdohar, Lan Zagar, Jure Zbontar, Marinka Zitnik, Blaz Zupan
License: Gpl Version 3 Or Later
Programming Language: C++, Python

Operating System: Linux, Windows, Mac Os X
Data Formats: Various
Tags: Association Rules, Attribute Selection, Classification, Clustering, Preprocessing, Regression, Visualization

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Orange 2.6