SGI MLC++ Utilities README file.                          November 1997
Machine Learning Library in C++.
http://www.sgi.com/Technology/mlc

Keywords: machine learning, accuracy estimation, cross-validation,
          bootstrap, ID3, decision trees, decision graphs, naive-bayes,
          decision tables, majority, induction algorithms, classifiers,
          categorizers, general logic diagrams, instance-based algorithms,
          discretization, lazy learning, bagging, MineSet.

MLC++ Team: The MLC++ team is continuing to work on research
  and development of machine learning techniques for data mining.
  The team is now working at Silicon Graphics, as part of the
  MineSet project for data mining and visualization:
      http://mineset.sgi.com.
  Core team members include: Ronny Kohavi (manager)
                        Cliff Brunk
                        Alex Kozlov
                        Clay Kunz
                        Dan Sommerfield
                        Eric Eros (contractor).

Questions or help requests related to the utilities should be
    addressed to mlc@postofc.corp.sgi.com 

Please see the MLC++ home page first:
    http://www.sgi.com/Technology/mlc

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Quick starter:

The MLC++ utilities are accessible through our web page
   http://www.sgi.com/Technology/mlc
  
cd <directory>
gzcat kit-name | tar xvf -
(or "tar xvf -" if you got have the .tar file)

where <directory> is the directory under which the mlc directory will
   be built (e.g., /usr/local or your own subdir).

The documentation is in utils.ps and it is currently OUT OF DATE.
Expect an update in the next month.

Environment varibles:
MLCDIR must be set to the directory where the utilities are installed.
MLCPATH to the directory where the databases are stored (can be
    colon-separated paths).

On SGI, the LD_LIBRARY_PATH must include the directory where the .so
files reside (dynamically shared) unless they are in /usr/lib or /lib.


Example setup file (can be sourced in .login).
setenv MLCDIR  "/usr/local/mlc"
setenv LD_LIBRARY_PATH "/usr/lib:/lib:$MLCDIR"
setenv MLCPATH ".:$MLCDIR/db"

If you have not "registered" through the web page, please
do so at http://www.sgi.com/Technology/mlc/mail.html

Databases in the MLC++ format, which is very similar to C4.5 format
  can be found in http://www.sgi.com/Technology/mlc/db/
  Most datafiles are converted from the repository at UC Irvine.
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