Libsvm

LIBSVM - A Library for Support Vector Machines.

How to use

libsvm 에서 요구하는 학습데이터 형태는 아래와 같이 입력한다.

<label> <index1>:<value1> <index2>:<value2> ...

여기서 label 이란 class 번호 이고 index는 0번부터 1씩 차례대로 증가 하면 된다.
그리고 value에 들어가는 값이 feature 의 값이 된다.

License

https://github.com/cjlin1/libsvm/blob/master/COPYRIGHT

BSD 라이선스에 호환된다. 전문은 아래와 같다.

Copyright (c) 2000-2014 Chih-Chung Chang and Chih-Jen Lin
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:

1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.

3. Neither name of copyright holders nor the names of its contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.


THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE REGENTS OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

SVM Parameters

/**
 * probability estimates.
 *
 * @remarks
 *  whether to predict probability estimates, 0 or 1 (default 0). @n
 *  for one-class SVM only 0 is supported.
 * @warning
 *  Current not used.
 */
int _predict_probability;

/**
 * shrinking heuristics flag.
 *
 * @remarks
 *  whether to use the shrinking heuristics, 0 or 1 (default 1)
 */
int _shrinking_heuristics;

/**
 * n-fold cross validation mode.
 *
 * @remarks
 *   0 or 1 (default 0).
 * @warning
 *  Current not used.
 */
int _cross_validation;

Favorite site

References

Libsvm_-class_classifier_02-_training_and_test.pdf ↩