| pktools 2.6.7 Processing Kernel for geospatial data

CostFactorySVM.h
1/**********************************************************************
2 CostFactorySVM.h: select features, typical use: feature selection for classification
3 Copyright (C) 2008-2012 Pieter Kempeneers
4
5 This file is part of pktools
6
7 pktools is free software: you can redistribute it and/or modify
8 it under the terms of the GNU General Public License as published by
9 the Free Software Foundation, either version 3 of the License, or
10(at your option) any later version.
11
12 pktools is distributed in the hope that it will be useful,
13 but WITHOUT ANY WARRANTY; without even the implied warranty of
14 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 GNU General Public License for more details.
16
17 You should have received a copy of the GNU General Public License
18 along with pktools. If not, see <http://www.gnu.org/licenses/>.
19***********************************************************************/
20#ifndef _COSTFACTORYSVM_H_
21#define _COSTFACTORYSVM_H_
22
23#include <math.h>
24#include <vector>
25#include <map>
26#include "base/Vector2d.h"
27#include "CostFactory.h"
28
29 namespace svm{
30 enum SVM_TYPE {C_SVC=0, nu_SVC=1,one_class=2, epsilon_SVR=3, nu_SVR=4};
31 enum KERNEL_TYPE {linear=0,polynomial=1,radial=2,sigmoid=3};
32}
33
34 class CostFactorySVM : public CostFactory
35{
36 public:
37 CostFactorySVM();
38 CostFactorySVM(std::string svm_type, std::string kernel_type, unsigned short kernel_degree, float gamma, float coef0, float ccost, float nu, float epsilon_loss, int cache, float epsilon_tol, bool shrinking, bool prob_est, unsigned short cv, short verbose);
39~CostFactorySVM();
40 double getCost(const std::vector<Vector2d<float> > &trainingFeatures);
41
42 private:
43std::string m_svm_type;
44std::string m_kernel_type;
45 unsigned short m_kernel_degree;
46 float m_gamma;
47 float m_coef0;
48 float m_ccost;
49 float m_nu;
50 float m_epsilon_loss;
51 int m_cache;
52 float m_epsilon_tol;
53 bool m_shrinking;
54 bool m_prob_est;
55};
56#endif
CostFactorySVM
Definition: CostFactorySVM.h:35
CostFactory
Definition: CostFactory.h:30
Vector2d
Definition: Vector2d.h:32