Two machine learning toolkits are available: CORElearn
The source code and binaries of the learning system CORElearn
can be downloaded as:
- port to R
system available via CRAN: sources and also binaries for
different platforms (regularly tested tested for Windows,
Linux, and OS X)
- the latest development version updated
July, 4th, 2015: CORElearn_1.0.47.tar.gz
version (version 0.9.44, January 25th, 2015) consists of
the same C++ code, plus compilation instructions, parameters
file, data format description, and same sample testing data.
It is tested to compile with gcc and msvc and contains Windows
executable. It may be older than the R port, mail me if you
need a fresh one. To compile the sources read the ReadMe.htm
The system supports decision and regression trees as well
as improved random forests and OrdEval algorithm.
Supported data input formats are C4.5, C5, and native format.
The system is tested to compile and run on Windows and
Linux. The documentation is available through R, just
install the package and type ?CORElearn at R prompt.
CORElearn is available under the GNU public license (GPLv3 or later).
Other licensing might be possible.
Some of the functionality and features are described in my papers. The R package contains the
documentation which applies also to the standalone version.
The system for generating new data based on
properties of existing one is available
CRAN. Current version is semiArtificial 1.1.0
(February 25th, 2014)
page of Marko Robnik Šikonja.