ITK  4.9.0
Insight Segmentation and Registration Toolkit
itkIterativeSupervisedTrainingFunction.h
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18 #ifndef itkIterativeSupervisedTrainingFunction_h
19 #define itkIterativeSupervisedTrainingFunction_h
20 
22 
23 namespace itk
24 {
25 namespace Statistics
26 {
33 template<typename TSample, typename TTargetVector, typename ScalarType>
34 class IterativeSupervisedTrainingFunction : public TrainingFunctionBase<TSample, TTargetVector, ScalarType>
35 {
36 public:
37 
42 
45 
47  itkNewMacro(Self);
48 
49  typedef typename Superclass::NetworkType NetworkType;
51 
53 
54  virtual void Train(NetworkType* net, TSample* samples, TTargetVector* targets) ITK_OVERRIDE;
55 
56  itkSetMacro(Threshold, ScalarType);
57 
58 protected:
59 
62 
64  virtual void PrintSelf( std::ostream& os, Indent indent ) const ITK_OVERRIDE;
65 
66  ScalarType m_Threshold;
67  bool m_Stop; //stop condition
68 };
69 
70 } // end namespace Statistics
71 } // end namespace itk
72 
73 #ifndef ITK_MANUAL_INSTANTIATION
74  #include "itkIterativeSupervisedTrainingFunction.hxx"
75 #endif
76 
77 #endif
Light weight base class for most itk classes.
unsigned long SizeValueType
Definition: itkIntTypes.h:143
virtual void Train(NetworkType *net, TSample *samples, TTargetVector *targets) override
TrainingFunctionBase< TSample, TTargetVector, ScalarType > Superclass
virtual void PrintSelf(std::ostream &os, Indent indent) const override
This is the itkIterativeSupervisedTrainingFunction class.
This is the itkTrainingFunctionBase class.
NeuralNetworkObject< VectorType, OutputVectorType > NetworkType
Control indentation during Print() invocation.
Definition: itkIndent.h:49