Weka is installed in /usr/local/weka in our department machines.
For those who want to install Weka on your machines, you can simply unzip the weka after downloading it from http://www.cs.waikato.ac.nz/ml/weka/.
Weka provides the Explorer and Experimenter GUI that can be run with command:
The -Xmx1024M option for maximum heap size ensures your run to have enough memory.
java -Xmx1024M -jar weka.jar
You can set this option in the following command-line as well for handling large data.
For in-depth usage, Weka provides the command line interface, which is recommended because of memory and functionality.
After setting the CLASSPATH to /usr/local/weka/weka.jar or passing -cp option, you can train C4.5 decision tree as follows:
For experiments, you can write a bash/csh script with multiple runs including similar to the previous lines.
java weka.classifiers.trees.J48 -t /usr/local/weka/data/weather.numeric.arff
Weka package contains the documents in it: WekaManual.pdf and documentation.html.
For the package reference, you can take a look at the Package Documentation from documentation.html or /usr/local/weka-3-7-10/doc/index.html.
Here is the quick introduction to Weka.