Xmipp  v3.23.11-Nereus
data_set.h
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1 /***************************************************************************
2  *
3  * Authors: Alberto Pascual Montano (pascual@cnb.csic.es)
4  *
5  * Unidad de Bioinformatica of Centro Nacional de Biotecnologia , CSIC
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25 
26 #ifndef XMIPPCDSET_H
27 #define XMIPPCDSET_H
28 
29 #include "training_set.h"
30 
43 template<class InClass, class OutClass>
45 {
46 public:
48  typedef InClass In;
49 
51  typedef OutClass Out;
52 
55 
61  {};
62 
68  {};
69 
76  virtual Out apply(const In& _in) const = 0;
77 
88  virtual unsigned output(const In& _in) const = 0;
89 };
90 
92 #endif//XMIPPCDSET_H
InClass In
Class of input vectors. Usually a FeatureVector (vector of Feature)
Definition: data_set.h:48
OutClass Out
Class of the target. Can be a double, string, unsigned, even a vector ...
Definition: data_set.h:51
virtual ~ClassificationDataSet()
Definition: data_set.h:67
virtual unsigned output(const In &_in) const =0
virtual Out apply(const In &_in) const =0
ClassificationTrainingSet< In, Out > TS
Training set. Set of vectors (training vectors), probably classified.
Definition: data_set.h:54