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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 TOutput, class ScalarType>
00028 class BatchSupervisedTrainingFunction : public TrainingFunctionBase<TSample, TOutput, ScalarType>
00029 {
00030 public:
00031
00032 typedef BatchSupervisedTrainingFunction Self;
00033 typedef TrainingFunctionBase<TSample, TOutput, ScalarType> Superclass;
00034 typedef SmartPointer<Self> Pointer;
00035 typedef SmartPointer<const Self> ConstPointer;
00036
00038 itkTypeMacro(BatchSupervisedTrainingFunction, TrainingFunctionBase);
00039
00041 itkNewMacro(Self);
00042
00043 typedef typename Superclass::NetworkType NetworkType;
00044 typedef typename Superclass::InternalVectorType InternalVectorType;
00045
00047 void SetNumOfIterations(long i);
00048
00049 void Train(NetworkType* net, TSample* samples, TOutput* targets);
00050
00051 itkSetMacro(Threshold, ScalarType);
00052
00053 protected:
00054
00055 BatchSupervisedTrainingFunction();
00056 ~BatchSupervisedTrainingFunction(){};
00057
00059 virtual void PrintSelf( std::ostream& os, Indent indent ) const;
00060
00061 ScalarType m_Threshold;
00062 bool m_Stop;
00063 };
00064
00065 }
00066 }
00067
00068 #ifndef ITK_MANUAL_INSTANTIATION
00069 #include "itkBatchSupervisedTrainingFunction.txx"
00070 #endif
00071
00072 #endif
00073