[pktools] 292/375: added CostFactory.h

[Bas Couwenberg]

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

commit 33fcc410334aff784d6f8781ecdeb357f1ed2373
Author: user <user at osgeolive.(none)>
Date:   Mon Jun 23 21:20:38 2014 +0200

    added CostFactory.h
---
 src/algorithms/CostFactory.h | 59 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)

diff --git a/src/algorithms/CostFactory.h b/src/algorithms/CostFactory.h
new file mode 100644
index 0000000..982e9dc
--- /dev/null
+++ b/src/algorithms/CostFactory.h
@@ -0,0 +1,59 @@
+/**********************************************************************
+CostFactory.h: select features, typical use: feature selection for classification
+Copyright (C) 2008-2012 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/>.
+***********************************************************************/
+#ifndef _COSTFACTORY_H_
+#define _COSTFACTORY_H_
+
+#include <math.h>
+#include <vector>
+#include <map>
+#include "ConfusionMatrix.h"
+#include "base/Vector2d.h"
+
+
+class CostFactory{
+public:
+  CostFactory(void){};
+ CostFactory(unsigned short cv, short verbose) : m_cv(cv), m_verbose(verbose){};
+  virtual ~CostFactory(void);
+  void setCv(unsigned short cv){m_cv=cv;};
+  void setClassValueMap(const std::string& classname, short classvalue){ m_classValueMap[classname]=classvalue;};
+  std::map<std::string,short> getClassValueMap(){return m_classValueMap;};
+  std::vector<std::string> getNameVector(){return m_nameVector;};
+  void setNameVector(std::vector<std::string>& nameVector){m_nameVector=nameVector;};
+  unsigned short getClassIndex(std::string classname){m_cm.getClassIndex(classname);};
+  void pushBackClassName(std::string classname){m_cm.pushBackClassName(classname);};
+  void pushBackName(std::string classname){m_nameVector.push_back(classname);};
+  void setNcTraining(const std::vector<unsigned int> nctraining){m_nctraining=nctraining;};
+  void setNcTest(const std::vector<unsigned int> nctest){m_nctest=nctest;};
+  //getCost needs to be implemented case by case (e.g., SVM, ANN)
+  virtual double getCost(const std::vector<Vector2d<float> > &trainingFeatures);
+  
+protected:
+  ConfusionMatrix m_cm;
+  std::map<std::string,short> m_classValueMap;
+  std::vector<std::string> m_nameVector;
+  std::vector<unsigned int> m_nctraining;
+  std::vector<unsigned int> m_nctest;
+  unsigned short m_cv;
+  std::string m_classname;
+  short m_classvalue;
+  short m_verbose;
+};
+#endif /* _FEATURESELECTOR_H_ */

-- 
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