https://github.com/fracpete/wekamooc

Code examples for the MOOC series "Data Mining with Weka" - https://weka.waikato.ac.nz/
https://github.com/fracpete/wekamooc

examples groovy mooc python27 weka

Last synced: 15 days ago
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Code examples for the MOOC series "Data Mining with Weka" - https://weka.waikato.ac.nz/

• Host: GitHub
• URL: https://github.com/fracpete/wekamooc
• Owner: fracpete
• License: gpl-3.0
• Created: 2014-05-02T08:16:42.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2015-04-14T03:25:01.000Z (over 9 years ago)
• Last Synced: 2024-10-19T12:15:54.908Z (2 months ago)
• Topics: examples, groovy, mooc, python27, weka
• Language: Python
• Homepage:
• Size: 1.43 MB
• Stars: 6
• Watchers: 3
• Forks: 34
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
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:

  

  WEKAMOOC_DATA=/home/me/somewhere/data python class-1.3.py

  WEKAMOOC_DATA=/home/me/somewhere/data python class-1.4.py

  


* for the current shell session:

  

  export WEKAMOOC_DATA=/home/me/somewhere/data

  python class-1.3.py

  python class-1.4.py

  


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

  

  set WEKAMOOC_DATA=C:\some\where

  python class-1.3.py

  python class-1.4.py