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#1 Nov. 5, 2005 19:08:03

Dirk E.
Registered: 2009-11-02
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[Quantian-general] Weka Machine Learning Environment


Bob,



On 5 November 2005 at 12:09, wrote:
| I would be very interested in seeing the Weka machine learning environment
| added to a live-DVD, such as Quantian. Weka is a powerful, open-source
| data mining package with many artificial intelligence algrorithms, created
| at the University of Waikato in New Zealand. It is written in Java, and so

Sure, I'm aware of Weka and their book, but have never installed it as I find
Java so tedious to work with.

I also have limited time and bandwidth for figuring out suggested packages.
If you could help with Weka, for example by installing Knoppix 4.0.2
(possibly the cdrom version) to disk and then documenting what you to do to
install Weka, and make it work well, I'd be helped quite a bit. Ideally, of
course, would be a Debian package encapsulating all this. It may be
worthwhile mentioning this to the good folks over at debian-java -- cc'ed.

| is platform independent. There is also a version that can be set up in a
| cluster configuration, called Cluster Weka.

I didn't know that. What messaging toolkit do they use? Something like PVM or
LAM, or something homegrown?

| If you are interested, the website is:
|
|http://www.cs.waikato.ac.nz/ml/weka/|
| Your work on the Quantian project is marvelous, and I applaud your efforts,
| and your contribution to the open-source community.

Thanks for your interest in Quantian, and the kind words.

Cheers, Dirk

| Bob McPherson
|
|
| _______________________________________________
| Quantian-general mailing list
|
|http://lists.alioth.debian.org/mailman/listinfo/quantian-general--
Statistics: The (futile) attempt to offer certainty about uncertainty.
-- Roger Koenker, 'Dictionary of Received Ideas of Statistics'


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#2 Nov. 24, 2005 23:22:44

Mark W.
Registered: 2009-11-02
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[Quantian-general] Weka Machine Learning Environment


Hi,

On Sat, 2005-11-05 at 12:51 -0600, Dirk Eddelbuettel wrote:
> On 5 November 2005 at 12:09, wrote:
> | I would be very interested in seeing the Weka machine learning environment
> | added to a live-DVD, such as Quantian. Weka is a powerful, open-source
> | data mining package with many artificial intelligence algrorithms, created
> | at the University of Waikato in New Zealand. It is written in Java, and so
>
> Sure, I'm aware of Weka and their book, but have never installed it as I find
> Java so tedious to work with.
>
> I also have limited time and bandwidth for figuring out suggested packages.
> If you could help with Weka, for example by installing Knoppix 4.0.2
> (possibly the cdrom version) to disk and then documenting what you to do to
> install Weka, and make it work well, I'd be helped quite a bit. Ideally, of
> course, would be a Debian package encapsulating all this. It may be
> worthwhile mentioning this to the good folks over at debian-java -- cc'ed.

Sorry for the late reply. I just saw this. As part of GNU Classpath we
are tracking weka as one of the applications we like to have supported.
It is listed under "Starts but doesn't really work yet" onhttp://developer.classpath.org/mediation/FreeSwingTestAppsIf there are people wanting to test this application and give some
feedback to the developers (either on that wiki or by emailing
classp***@*nu.org) that would be appreciated. I must warn that it will
certainly show some bugs though and you will have to get a CVS version
of GNU Classpath for the latest development. (GNU Classpath is used by
GCC/GCJ, Kaffe, Jamvm, etc. as core library.)

Thanks,

Mark

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