BSVM:
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COPYRIGHT NOTIFICATION
BSVM can be freely used for research purpose.
Use for commercial purposes is expressly prohibited
without contacting the authors.
BSVM is provided "as is" without express or implied warranty.
Chih-Wei Hsu and Chih-Jen Lin
Department of Computer Science and
Information Engineering
National Taiwan University
Taipei 106, Taiwan
e-mail: cjlin@csie.ntu.edu.tw
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INSTRUCTIONS
1. Create the bsvm directory structure with
unzip bsvm.zip
This produces the directory bsvm and several subdirectories.
2. On Unix systems, type `make' to build the `bsvm-train' and `bsvm-predict'
programs. On other systems, consult `Makefile' to build them or use the
pre-built binaries (Windows binaries are in the subdirectory `Windows').
3. Find options of bsvm
bsvm-train
4. Run the sample problems by executing bsvm. A model
file is generated
bsvm-train -t 2 -c 1000 vehicle.scale vehicle_model
5. Test the classifier
bsvm-predict vehicle.scale vehicle_model classified_result
test data: vehicle.scale (a 4-class classification problem)
support vectors: vehicle_model
classified_result: results after classification
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FILE FORMATS and PARAMETERS
The format of training and testing data file is: