/usr/include/shogun/classifier/svm/LibSVMOneClass.h is in libshogun-dev 3.2.0-7.3build4.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | /*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 2006 Christian Gehl
* Written (W) 2006-2009 Soeren Sonnenburg
* Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
*/
#ifndef _LIBSVM_ONECLASS_H___
#define _LIBSVM_ONECLASS_H___
#include <shogun/lib/common.h>
#include <shogun/classifier/svm/SVM.h>
#include <shogun/lib/external/shogun_libsvm.h>
#include <stdio.h>
namespace shogun
{
/** @brief class LibSVMOneClass */
class CLibSVMOneClass : public CSVM
{
public:
/** default constructor */
CLibSVMOneClass();
/** constructor
*
* @param C constant C
* @param k kernel
*/
CLibSVMOneClass(float64_t C, CKernel* k);
virtual ~CLibSVMOneClass();
/** get classifier type
*
* @return classifier type LIBSVMONECLASS
*/
virtual EMachineType get_classifier_type() { return CT_LIBSVMONECLASS; }
/** @return object name */
virtual const char* get_name() const { return "LibSVMOneClass"; }
protected:
virtual bool train_require_labels() const { return false; }
/** train SVM
*
* @param data training data (parameter can be avoided if distance or
* kernel-based classifiers are used and distance/kernels are
* initialized with train data)
*
* @return whether training was successful
*/
virtual bool train_machine(CFeatures* data=NULL);
protected:
/** SVM problem */
svm_problem problem;
/** SVM parameter */
svm_parameter param;
/** SVM model */
struct svm_model* model;
};
}
#endif
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