WekaMOOC

Contains code examples for the MOOC series Data Mining with Weka:

https://weka.waikato.ac.nz/

You can use the WEKAMOOC_DATA environment variable to point the scripts to the correct data directory, rather than changing the directory in each of the scripts manually.

Requires version 0.2.0 (or later) of the python-weka-wrapper library for the Python examples.

On Linux or Mac OSX, you can do this in the terminal as follows:

• just for the current command:

  <pre> WEKAMOOC_DATA=/home/me/somewhere/data python class-1.3.py WEKAMOOC_DATA=/home/me/somewhere/data python class-1.4.py </pre>

• for the current shell session:

  <pre> export WEKAMOOC_DATA=/home/me/somewhere/data python class-1.3.py python class-1.4.py </pre>

For Windows, you can do this in the command prompt as follows:

<pre> set WEKAMOOC_DATA=C:\some\where python class-1.3.py python class-1.4.py </pre>