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itkBatchSupervisedTrainingFunction.h

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00001 /*=========================================================================
00002 
00003   Program:   Insight Segmentation & Registration Toolkit
00004   Module:    $RCSfile: itkBatchSupervisedTrainingFunction.h,v $
00005   Language:  C++
00006   Date:      $Date: 2009-01-24 21:33:49 $
00007   Version:   $Revision: 1.4 $
00008 
00009   Copyright (c) Insight Software Consortium. All rights reserved.
00010   See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
00011 
00012      This software is distributed WITHOUT ANY WARRANTY; without even 
00013      the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
00014      PURPOSE.  See the above copyright notices for more information.
00015 
00016 =========================================================================*/
00017 #ifndef __itkBatchSupervisedTrainingFunction_h
00018 #define __itkBatchSupervisedTrainingFunction_h
00019 
00020 #include "itkTrainingFunctionBase.h"
00021 
00022 namespace itk
00023 {
00024 namespace Statistics
00025 {
00026 
00027 template<class TSample, class TTargetVector, class ScalarType>
00028 class BatchSupervisedTrainingFunction : public TrainingFunctionBase<TSample, TTargetVector, ScalarType>
00029 {
00030 public:
00031 
00032   typedef BatchSupervisedTrainingFunction  Self;
00033   typedef TrainingFunctionBase<TSample, TTargetVector, ScalarType>
00034                                            Superclass;
00035   typedef SmartPointer<Self>               Pointer;
00036   typedef SmartPointer<const Self>         ConstPointer;
00037 
00039   itkTypeMacro(BatchSupervisedTrainingFunction, TrainingFunctionBase);
00040 
00042   itkNewMacro(Self);
00043 
00044   typedef typename Superclass::NetworkType        NetworkType;
00045   typedef typename Superclass::InternalVectorType InternalVectorType;
00046 
00048   void SetNumOfIterations(long i);
00049 
00050   virtual void Train(NetworkType* net, TSample* samples, TTargetVector* targets);
00051 
00052   itkSetMacro(Threshold, ScalarType);
00053 
00054 protected:
00055 
00056   BatchSupervisedTrainingFunction();
00057   virtual ~BatchSupervisedTrainingFunction(){};
00058 
00060   virtual void PrintSelf( std::ostream& os, Indent indent ) const;
00061 
00062   ScalarType  m_Threshold;
00063   bool        m_Stop; //stop condition
00064 };
00065 
00066 } // end namespace Statistics
00067 } // end namespace itk
00068 
00069 #ifndef ITK_MANUAL_INSTANTIATION
00070   #include "itkBatchSupervisedTrainingFunction.txx"
00071 #endif
00072 
00073 #endif
00074 

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