learning curve's too steep Post: 302202462

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Top Forums UNIX for Dummies Questions & Answers learning curve's too steep Post 302202462 by mschwage on Wednesday 4th of June 2008 11:54:00 PM

06-05-2008

Registered User

Final word

...Guess I just need to get the last word in:

The nice thing about Ubuntu is that so many things work out of the box. One bizarreness that I found is that you may need to add some non-default locations to be scanned for software updates/downloads (eg, getting Codecs that can't be shipped with the OS). But once that's set up, there's very little hassle in downloading or updating software. Everything just works together.

Oh- except for 3D graphics. That was a hassle too. But that was 1.5 years ago, maybe it's better now.

I even did a full upgrade once... just grit my teeth, closed my eyes, and hit the "Upgrade" button. With no backups (I was too lazy). After much disk thrashing and holding of breath, the machine upgraded fine.

Not that I recommend it. But it's nice to see how far Linux has come and, like you, I am discovering that the older I get the less time I have for screwing around with stuff. It needs to just work or I move on. This leaves me room to screw around with those things I'm really interested in. :-)
-mschwage

mschwage

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LEARN ABOUT DEBIAN

weka

WEKA(1) 						      General Commands Manual							   WEKA(1)

NAME

       weka - Machine learning algorithms for data mining tasks

SYNOPSIS

       weka [OPTION]

DESCRIPTION

       This manual page documents briefly the weka, command.

       weka -- start the weka machine learning suite

OPTIONS

       A summary of options is included below.

       -h, --help
	      Show summary of options.

       -g, --gui INTERFACE
	      Start the weka gui using the MDI or SDI interface.

       -m, --memory MEMORY
	      The amount of memory to use for the Java Virtual Machine (default: 256m).

       -c, --class CLASS
	      Start weka using an alternative class (default: weka.gui.Main).

SEE ALSO

       lush(1),shogun(1),svm-train(1)

       Weka example datasets are located in
	      /usr/share/doc/weka/examples.

       Weka tutorials and the full documentation can be found in
	      /usr/share/doc/weka-doc if the weka-doc package is installed.

AUTHOR

       weka was written by the Waikato Machine Learning Group <wekalist@list.scms.waikato.ac.nz>.

       This manual page was written by Soeren Sonnenburg <sonne@debian.org>, for the Debian project (but may be used by others).

								December  19, 2007							   WEKA(1)