[pktools] 297/375: added pkfssvm.h and pkfsann.h

[Bas Couwenberg]

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sebastic-guest pushed a commit to branch upstream-master
in repository pktools.

commit 5ccde20693d864ab413daebb32d249f90656b1a9
Author: Pieter Kempeneers <kempenep at gmail.com>
Date:   Thu Jun 26 20:48:02 2014 +0200

    added pkfssvm.h and pkfsann.h
---
 src/apps/pkfssvm.h | 57 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 57 insertions(+)

diff --git a/src/apps/pkfssvm.h b/src/apps/pkfssvm.h
new file mode 100644
index 0000000..c4d3f72
--- /dev/null
+++ b/src/apps/pkfssvm.h
@@ -0,0 +1,57 @@
+/**********************************************************************
+pkfssvm.h: feature selection for svm classifier
+Copyright (C) 2008-2014 Pieter Kempeneers
+
+This file is part of pktools
+
+pktools 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.
+
+pktools is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with pktools.  If not, see <http://www.gnu.org/licenses/>.
+***********************************************************************/
+#include <string>
+#include <vector>
+#include "base/Vector2d.h"
+
+#ifndef _PKFSSVMH_H_
+#define _PKFSSVMH_H_
+namespace svm{
+  enum SVM_TYPE {C_SVC=0, nu_SVC=1,one_class=2, epsilon_SVR=3, nu_SVR=4};
+  enum KERNEL_TYPE {linear=0,polynomial=1,radial=2,sigmoid=3};
+}
+
+enum SelectorValue  { NA=0, SFFS=1, SFS=2, SBS=3, BFS=4};
+
+class CostFactorySVM : public CostFactory
+{
+public:
+CostFactorySVM();
+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, bool verbose);
+~CostFactorySVM();
+double getCost(const std::vector<Vector2d<float> > &trainingFeatures);
+  
+private:
+std::string m_svm_type;
+std::string m_kernel_type;
+unsigned short m_kernel_degree;
+float m_gamma;
+float m_coef0;
+float m_ccost;
+float m_nu;
+float m_epsilon_loss;
+int m_cache;
+float m_epsilon_tol;
+bool m_shrinking;
+bool m_prob_est;
+};
+
+
+#endif

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