Description

From the WEKA Home Page: WEKA is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Version

• 3.7.12

Authorized Users

• CIRCE account holders
• RRA account holders
• SC account holders

Platforms

• CIRCE cluster
• RRA cluster
• SC cluster

Modules

WEKA requires the following module file to run:

• apps/weka/3.7.12

• See Modules for more information.

Running WEKA on CIRCE/SC

The WEKA user guide is essential to understanding the application and making the most of it. The guide and this page should help you to get started with your simulations. Please refer to the Documentation section for a link to the guide.

• Note on CIRCE: Make sure to run your jobs from your $WORK directory!
• Note: Scripts are provided as examples only. Your SLURM executables, tools, and options may vary from the example below. For help on submitting jobs to the queue, see our SLURM User’s Guide.

Jobs Shorter than 30 Minutes in Length

Establishing a GUI connection to CIRCE/SC

To use WEKA, you will need to connect to CIRCE/SC with GUI redirection, either using:

• CIRCE/SC Desktop Environment
• SSH with X11 redirection
  • If connecting from OSX or Linux via SSH, please ensure that you use one of the following commands to properly redirect X11:

    • [user@localhost ~]$ ssh -X circe.rc.usf.edu

      or

    • [user@localhost ~]$ ssh -X sc.rc.usf.edu

Once connected to CIRCE/SC, you can open WEKA using the steps below:

[user@login0 ~]$ module add apps/weka/3.7.12
[user@login0 ~]$ weka

Jobs Longer than 30 Minutes in Length.

Establishing a GUI connection to CIRCE/SC

To use WEKA, you will need to connect to CIRCE/SC with GUI redirection, either using:

• CIRCE/SC Desktop Environment
• SSH with X11 redirection
  • If connecting from OSX or Linux via SSH, please ensure that you use one of the following commands to properly redirect X11:

    • [user@localhost ~]$ ssh -X circe.rc.usf.edu

      or

    • [user@localhost ~]$ ssh -X sc.rc.usf.edu

Next, use the following commands to open an SRUN Interactive Session, load the module for WEKA, and execute the WEKA binary:

[user@login0 ~]$ srun --time=48:00:00 --nodes=1 --cpus-per-task=1 --pty /bin/bash
[user@wh-520-4-1 ~]$ module load apps/weka/3.7.12
[user@wh-520-4-1 ~]$ weka

Documentation

Home Page, User Guides, and Manuals

• WEKA Home Page:
  • http://www.cs.waikato.ac.nz/ml/weka/
• WEKA Documentation:
  • http://www.cs.waikato.ac.nz/ml/weka/documentation.html
  • /apps/weka/3.7.12/WekaManual.pdf

More Job Information

See the following for more detailed job submission information:

• SLURM User’s Guide
• Scheduling and Dispatch Policies
• Advanced Submit Techniques

Reporting Bugs

Report bugs with WEKA to the IT Help Desk: rc-help@usf.edu