If you run the classifier weka.classifiers.functions.LibSVM and get the libsvm classes not in CLASSPATH! error message, you are missing the libsvm jar archive in your current classpath. The LibSVM classifier is only a wrapper for using the libsvm classes. Check out the LibSVM article on the Wiki for details about how to use this classifier.

It's not that hard to use Weka classes in your own code, the following articles give a good overview of how to do that: In general, the articles of the source code category. Note: Weka is open-source software under the GNU General Public License, which means that your code has to be licensed under the GPL as well. See similar questions...

Yes, you can. Read the Use Weka with the Microsoft .NET Framework article on the Wiki. There is also a tutorial for IKVM available. See similar questions...

The libsvm license ("the modified BSD license") is compatible with many free software licenses such as GPL. Hence, it is very easy to use libsvm in your software. It can also be used in commercial products. See similar questions...

You can compile the source code simply with any (Sun-compliant) java compiler, or use ant, or an IDE. Check out the Wiki article about Compiling Weka, which contains links to further articles, covering topics about ant and IDEs. See similar questions...

Contributions (or links to them) can be either posted to the Weka mailing list or sent to the Weka maintainer (normally also the admin of the Weka homepage). The conditions for new classifiers (schemes in general) are that, firstly, they have to be published in the proceedings of a renowned conference (e.g., ICML) or as an article of respected journal (e.g., Machine Learning) and, secondly, that they outperform other standard schemes (e.g., J48/C4.5). See similar questions...

In the package there is a README file which details all options, data format, and library calls. The model selection tool and the python interface have a separate README under the directory python. The guide A practical guide to support vector classification shows beginners how to train/test their data. The paper LIBSVM : a library for support vector machines discusses the implementation of libsvm in detail. See similar questions...

Weka not only uses the .props files that are present in the jar archive, but also the ones in the user's home directory and the current directory, i.e., the one Weka was started from. For a complete overview, see the section Precedence in theProperties file article. See similar questions...

Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm The bibtex format is as follows @Manual{CC01a, author = {Chih-Chung Chang and Chih-Jen Lin}, title = {{LIBSVM}: a library for support vector machines}, year = {2001}, note = {Software available at \url{http://www.csie.ntu.edu.tw/~cjlin/libsvm}} } See similar questions...

This usually happens if you compile the code on one machine and run it on another which has incompatible libraries. Try to recompile the program on that machine or use static linking. Build it as a project by choosing "Win32 Project." On the other hand, for "svm-train" and "svm-predict" you want to choose "Win32 Console Project." After libsvm 2.5, you can also use the file Makefile.win. See details in README. If you are not using Makefile.win and see the following link error LIBCMTD. See similar questions...

No, libsvm solves linear/nonlinear SVMs by the same way. Some tricks may save training/testing time if the linear kernel is used, so libsvm is NOT particularly efficient for linear SVM, especially when C is large and the number of data is much larger than the number of attributes. You can either Use small C only. We have shown in the following paper that after C is larger than a certain threshold, the decision function is the same. S. S. Keerthi and C.-J. Lin. See similar questions...

Yes, you can. The currently supported formats are EPS and JPEG. The magic button is Alt+Shift+Left-Click. There's one limitation: only what's visible will end up in the screenshot. See similar questions...

weka.gui.visualize.Plot2D.backgroundColour sets the background color For more information see the articles about Properties file (especially the section Precedence will tell you where to place the .props file.) and Visualize.props itself. See similar questions...

Some of Weka's schemes support the generation of Java source code based on their internal state. See the Generating source code from Weka classes Wiki article for more details. See similar questions...

Use the suppositories in the evening. Make sure that you have already gone to the bathroom at least once that day before using the suppositories. See similar questions...